R : Copyright 2005, The R Foundation for Statistical Computing
Version 2.1.1  (2005-06-20), ISBN 3-900051-07-0

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> ### * <HEADER>
> ###
> attach(NULL, name = "CheckExEnv")
> assign(".CheckExEnv", as.environment(2), pos = length(search())) # base
> ## add some hooks to label plot pages for base and grid graphics
> setHook("plot.new", ".newplot.hook")
> setHook("persp", ".newplot.hook")
> setHook("grid.newpage", ".gridplot.hook")
> 
> assign("cleanEx",
+        function(env = .GlobalEnv) {
+ 	   rm(list = ls(envir = env, all.names = TRUE), envir = env)
+            RNGkind("default", "default")
+ 	   set.seed(1)
+    	   options(warn = 1)
+ 	   delayedAssign("T", stop("T used instead of TRUE"),
+ 		  assign.env = .CheckExEnv)
+ 	   delayedAssign("F", stop("F used instead of FALSE"),
+ 		  assign.env = .CheckExEnv)
+ 	   sch <- search()
+ 	   newitems <- sch[! sch %in% .oldSearch]
+ 	   for(item in rev(newitems))
+                eval(substitute(detach(item), list(item=item)))
+ 	   missitems <- .oldSearch[! .oldSearch %in% sch]
+ 	   if(length(missitems))
+ 	       warning("items ", paste(missitems, collapse=", "),
+ 		       " have been removed from the search path")
+        },
+        env = .CheckExEnv)
> assign("..nameEx", "__{must remake R-ex/*.R}__", env = .CheckExEnv) # for now
> assign("ptime", proc.time(), env = .CheckExEnv)
> grDevices::postscript("MarkedPointProcess-Examples.ps")
> assign("par.postscript", graphics::par(no.readonly = TRUE), env = .CheckExEnv)
> options(contrasts = c(unordered = "contr.treatment", ordered = "contr.poly"))
> options(warn = 1)    
> library('MarkedPointProcess')
Loading required package: RandomFields
Loading required package: adapt
> 
> assign(".oldSearch", search(), env = .CheckExEnv)
> assign(".oldNS", loadedNamespaces(), env = .CheckExEnv)
> cleanEx(); ..nameEx <- "BITOEK"
> 
> ### * BITOEK
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: BITOEKforests
> ### Title: Forestry areas of intensif measurement by BITOEK
> ### Aliases: BITOEK BITOEKforests forests steigerwald coulissenhieb
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(BITOEK)
> 
> plotWithCircles(cbind(coulissenhieb$coord, coulissenhieb$diam), factor=3)
> 
> plotWithCircles(cbind(steigerwald$coord, steigerwald$diam), factor=2)
> 
> 
> 
> 
> cleanEx(); ..nameEx <- "mpp.characteristics"
> 
> ### * mpp.characteristics
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: mpp.characteristics
> ### Title: Characteristics of the marks of a marked point process
> ### Aliases: mpp.characteristics
> ### Keywords: spatial
> 
> ### ** Examples
> 
> data(BITOEK)
> 
> bin <- c(-1, seq(0, 50, 2))
> normalize <- TRUE
> mpp <- mpp.characteristics(bin=bin, normalize=normalize, show=TRUE,
+                    coord=steigerwald$coord, diam=steigerwald$diam)
.Ebin.psstr(mpp)
.VARbin.ps
.E.1.1.1.ps
.V.1.1.1.ps
.SQ.1.1.1.pscleanEx(); ..nameEx <- "rfm.test"
.KMMbin.ps
.K.1.1.0.0.ps### * rfm.test
.G.1.1.0.0.ps
> flush(stderr()); flush(stdout())
> 
> ### Name: rfm.test
> ### Title: MC test on random field model
> ### Aliases: rfm.test
> ### Keywords: spatial
> 
> ### ** Examples
> 
> 
> 
> cleanEx(); ..nameEx <- "simulate.mpp"
> 
> ### * simulate.mpp
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: simulate.mpp
> ### Title: Simulation of marked point processes
> ### Aliases: simulate.mpp
> ### Keywords: spatial
> 
> ### ** Examples
> 
>  xlim <- c(0, if (interactive()) 200 else 20)
>  mpp <- simulate.mpp(coordmodel="Poisson", lambda=1,
+               window=c(xlim=xlim, ylim=c(20, 70)),
+               repet=3, coordrepet=4,
+               model=list(list(model="exp", var=1, scale=10),
+                          "+",
+                          list(model="nearest neighbour", p=1)))
************>   str(mpp)
List of 4
 $ :List of 2
  ..$ coord: num [1:980, 1:2] 18.16 17.97 13.22  1.24  3.53 ...
  ..$ data : num [1:980, 1:3]  0.270  2.099  0.286 -0.669  0.939 ...
 $ :List of 2
  ..$ coord: num [1:1035, 1:2]  7.09 17.00  7.41 17.98  7.39 ...
  ..$ data : num [1:1035, 1:3] -0.69011 -0.82066  0.89364  0.00577 -0.57793 ...
 $ :List of 2
  ..$ coord: num [1:1004, 1:2] 17.277  5.666 15.278  3.349  0.116 ...
  ..$ data : num [1:1004, 1:3] -0.306 -1.821 -0.235 -1.152  0.270 ...
 $ :List of 2
  ..$ coord: num [1:953, 1:2]  6.40 16.99  7.80 11.97  9.77 ...
  ..$ data : num [1:953, 1:3]  0.451  1.074 -0.546  0.666  0.724 ...
> 
> 
> 
> cleanEx(); ..nameEx <- "splitmodel"
> 
> ### * splitmodel
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: splitmodel
> ### Title: Split betweem marked point processes and random fields
> ### Aliases: splitmodel
> ### Keywords: spatial
> 
> ### ** Examples
> 
> str(splitmodel(list(list(model="exp", var=5, scale=3))))
List of 2
 $ RF :List of 1
  ..$ :List of 3
  .. ..$ model: chr "exp"
  .. ..$ var  : num 5
  .. ..$ scale: num 3
 $ mpp: list()
> 
> str(splitmodel(list(list(model="nearest neighbour", param=4))))
List of 2
 $ RF : list()
 $ mpp:List of 1
  ..$ :List of 3
  .. ..$ model: chr "nearest neighbour"
  .. ..$ param: num 4
  .. ..$ mnr  : num 0
> 
> str(splitmodel(list(list(model="exp", var=5, scale=3),
+                     "+",
+                     list(model="nearest neighbour", param=4),
+                     )))
List of 2
 $ RF :List of 1
  ..$ :List of 3
  .. ..$ model: chr "exp"
  .. ..$ var  : num 5
  .. ..$ scale: num 3
 $ mpp:List of 1
  ..$ :List of 3
  .. ..$ model: chr "nearest neighbour"
  .. ..$ param: num 4
  .. ..$ mnr  : num 0
> 
> str(splitmodel(list(list(model="exp", var=5, scale=3),
+                     "*",
+                     list(model="spherical", var=1, scale=2),
+                     "+",
+                     list(model="nearest neighbour", param=4),
+                     "+",
+                     list(model="random coin",
+                          param=c(fct=1, scale=7, height=8))
+                     )))
List of 2
 $ RF :List of 4
  ..$ :List of 3
  .. ..$ model: chr "exp"
  .. ..$ var  : num 5
  .. ..$ scale: num 3
  ..$ : chr "*"
  ..$ :List of 3
  .. ..$ model: chr "spherical"
  .. ..$ var  : num 1
  .. ..$ scale: num 2
  ..$ : chr "+"
 $ mpp:List of 2
  ..$ :List of 3
  .. ..$ model: chr "nearest neighbour"
  .. ..$ param: num 4
  .. ..$ mnr  : num 0
  ..$ :List of 3
  .. ..$ model: chr "random coin"
  .. ..$ param: Named num [1:3] 1 7 8
  .. .. ..- attr(*, "names")= chr [1:3] "fct" "scale" "height"
  .. ..$ mnr  : num 1
> 
> 
> 
> cleanEx(); ..nameEx <- "srd"
> 
> ### * srd
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: srd
> ### Title: Simulation study for marked point processes
> ### Aliases: srd srd.jrssb
> ### Keywords: spatial
> 
> ### ** Examples
> 
> # repet=2 is for demonstration of functionality
> # repet=50 gives more reliable results
> # repet=500 and final=TRUE have been used in the simulation study
>   
> printlevel <- 1 + !interactive()
> srd.jrssb(input=if(!interactive()) c(1:14,0), repet=2, dev=TRUE,
+           final=FALSE, Pr=printlevel)
1 : simulate coin model (Ex. 1), intensity=50 
not considered in the summaries, hence jumped
2 : simulate variance model (Ex. 3), intensity=50 
not considered in the summaries, hence jumped
3 : simulate coin model (Ex. 1), intensity=100 
G exponential(exponential) e=TRUE s=TRUE radius=0.05 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.05 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.05 R=0.05 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=FALSE radius=0.05 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=FALSE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=FALSE radius=0.05 R=0.05 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=FALSE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=FALSE s=FALSE radius=0.05 R=1e-04 intens.=100 len=1.414214 wid=1.414214

inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 1.000000000  1.000000000
lower      0.009972825  0.002929347
PARAM      0.000001000  0.000100000
upper      9.972824572 19.041213136
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 1.000000000  1.000000000
lower      0.009972825  0.004099029
PARAM      0.000001000  0.000100000
upper      9.972824572 18.950044906
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 0.000000000  1.000000000
lower      0.009972825  0.001633707
PARAM      0.500000000  0.000100000
upper      9.972824572 16.832593962
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 0.000000000  1.000000000
lower      0.009972825  0.002519482
PARAM      0.500000000  0.000100000
upper      9.972824572 16.744519278
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000 1.000000e+00
inconsist? 0.000000000 1.000000e+00
lower      0.009972825 9.364024e-04
PARAM      1.000000000 1.000000e-04
upper      9.972824572 1.851223e+01
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 0.000000000  1.000000000
lower      0.009972825  0.001874448
PARAM      1.000000000  0.000100000
upper      9.972824572 19.257020822
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range

G exponential(exponential) e=FALSE s=FALSE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214

inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 1.000000000  1.000000000
lower      0.009972825  0.001642582
PARAM      0.000001000  0.000100000
upper      9.972824572 18.507357047
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 1.000000000  1.000000000
lower      0.009972825  0.001603968
PARAM      0.000001000  0.000100000
upper      9.972824572 18.674916480
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 0.000000000  1.000000000
lower      0.009972825  0.002103083
PARAM      0.500000000  0.000100000
upper      9.972824572 17.687106058
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var       scale
fixed      1.000000000  1.00000000
inconsist? 0.000000000  1.00000000
lower      0.009972825  0.00321324
PARAM      0.500000000  0.00010000
upper      9.972824572 17.27568423
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 0.000000000  1.000000000
lower      0.009972825  0.001400128
PARAM      1.000000000  0.000100000
upper      9.972824572 18.015896298
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 0.000000000  1.000000000
lower      0.009972825  0.003309198
PARAM      1.000000000  0.000100000
upper      9.972824572 17.500192356
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range

G exponential(exponential) e=FALSE s=FALSE radius=0.05 R=0.05 intens.=100 len=1.414214 wid=1.414214

inconsistent boundaries
                   var        scale
fixed      1.000000000 1.000000e+00
inconsist? 1.000000000 0.000000e+00
lower      0.009972825 1.914198e-04
PARAM      0.000001000 5.000000e-02
upper      9.972824572 1.760316e+01
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000  1.000000000
inconsist? 1.000000000  0.000000000
lower      0.009972825  0.003145106
PARAM      0.000001000  0.050000000
upper      9.972824572 18.839206168
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range

G exponential(exponential) e=FALSE s=FALSE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214

inconsistent boundaries
                   var        scale
fixed      1.000000000 1.000000e+00
inconsist? 1.000000000 0.000000e+00
lower      0.009972825 8.320763e-04
PARAM      0.000001000 5.000000e-02
upper      9.972824572 1.889837e+01
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range


inconsistent boundaries
                   var        scale
fixed      1.000000000 1.000000e+00
inconsist? 1.000000000 0.000000e+00
lower      0.009972825 8.786495e-04
PARAM      0.000001000 5.000000e-02
upper      9.972824572 1.884166e+01
Warning in fitvario.default(x = x, y = y, z = z, T = T, data = data, model = model,  : 
	 fixed parameters out of range

G cubic(expon) e=TRUE s=FALSE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G cubic(expon) e=TRUE s=FALSE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
G gneit(expon) e=TRUE s=FALSE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G gneit(expon) e=TRUE s=FALSE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
G gneit(wave) e=TRUE s=FALSE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 52 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
0.50372114429941162 0.87397695159155486 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 52 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 52 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
1.00561018466857233 0.87397695159155486 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 52 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 52 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
1.50749922503773326 0.87397695159155486 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 52 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 52 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
2.00938826540689419 0.87397695159155486 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 52 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 52 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
2.51127730577605490 0.87397695159155486 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 52 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 52 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
3.01316634614521561 0.87397695159155486 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 52 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 52 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
3.51505538651437677 0.87397695159155486 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 52 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.5037211442994116 1.7473496844620557 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.0056101846685723 1.7473496844620557 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.507499225037733 1.747349684462056 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.0093882654068942 1.7473496844620557 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.511277305776055 1.747349684462056 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.013166346145216 1.747349684462056 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.515055386514377 1.747349684462056 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 35 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.5037211442994116 2.6207224173325563 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 35 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 35 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.0056101846685723 2.6207224173325563 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 35 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 35 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.507499225037733 2.620722417332556 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 35 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 35 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.0093882654068942 2.6207224173325563 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 35 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 35 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.511277305776055 2.620722417332556 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 35 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 35 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.013166346145216 2.620722417332556 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 35 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 35 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.515055386514377 2.620722417332556 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 35 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.5037211442994116 3.4940951502030573 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.0056101846685723 3.4940951502030573 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.507499225037733 3.494095150203057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.0093882654068942 3.4940951502030573 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.511277305776055 3.494095150203057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.013166346145216 3.494095150203057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.515055386514377 3.494095150203057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 23 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.5037211442994116 4.3674678830735578 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 23 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 23 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.0056101846685723 4.3674678830735578 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 23 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 23 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.507499225037733 4.367467883073558 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 23 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 23 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.0093882654068942 4.3674678830735578 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 23 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 23 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.511277305776055 4.367467883073558 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 23 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 23 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.013166346145216 4.367467883073558 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 23 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 23 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.515055386514377 4.367467883073558 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 23 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.5037211442994116 5.2408406159440588 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.0056101846685723 5.2408406159440588 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.507499225037733 5.240840615944059 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.0093882654068942 5.2408406159440588 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.511277305776055 5.240840615944059 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.013166346145216 5.240840615944059 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.515055386514377 5.240840615944059 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 90 is not positive definite

error in cholesky decomposition -- matrix pos def?[1] 0.98804529196872215 0.45338581929062005
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 90 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 90 is not positive definite

error in cholesky decomposition -- matrix pos def?[1] 0.98904257442591759 0.45338581929062005
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 90 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 90 is not positive definite

error in cholesky decomposition -- matrix pos def?[1] 0.98704800951152671 0.45338581929062005
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 90 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 88 is not positive definite

error in cholesky decomposition -- matrix pos def?[1] 0.9880452919687222 0.4536345334992227
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 88 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 92 is not positive definite

error in cholesky decomposition -- matrix pos def?[1] 0.98804529196872215 0.45313710508201743
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 92 is not positive de"| __truncated__
G gneit(wave) e=TRUE s=FALSE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 60 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4328493367757714 0.8819784776808735 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 60 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 60 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9374706283663387 0.8819784776808735 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 60 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 60 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4420919199569058 0.8819784776808735 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 60 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 60 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9467132115474732 0.8819784776808735 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 60 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 60 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4513345031380402 0.8819784776808735 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 60 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 60 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9559557947286073 0.8819784776808735 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 60 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 60 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4605770863191747 0.8819784776808735 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 60 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4328493367757714 1.7630429969678147 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9374706283663387 1.7630429969678147 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.442091919956906 1.763042996967815 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9467132115474732 1.7630429969678147 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.451334503138040 1.763042996967815 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9559557947286073 1.7630429969678147 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.460577086319175 1.763042996967815 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4328493367757714 2.6441075162547563 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9374706283663387 2.6441075162547563 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.442091919956906 2.644107516254756 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9467132115474732 2.6441075162547563 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.451334503138040 2.644107516254756 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9559557947286073 2.6441075162547563 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.460577086319175 2.644107516254756 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4328493367757714 3.5251720355416976 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9374706283663387 3.5251720355416976 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.442091919956906 3.525172035541698 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9467132115474732 3.5251720355416976 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.451334503138040 3.525172035541698 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9559557947286073 3.5251720355416976 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.460577086319175 3.525172035541698 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4328493367757714 4.4062365548286389 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9374706283663387 4.4062365548286389 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.442091919956906 4.406236554828639 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9467132115474732 4.4062365548286389 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.451334503138040 4.406236554828639 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9559557947286073 4.4062365548286389 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.460577086319175 4.406236554828639 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4328493367757714 5.2873010741155806 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9374706283663387 5.2873010741155806 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4420919199569058 5.2873010741155806 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9467132115474732 5.2873010741155806 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4513345031380402 5.2873010741155806 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9559557947286073 5.2873010741155806 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4605770863191747 5.2873010741155806 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 59 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
0.48031162360392243 0.79487533530278709 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 59 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 59 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9835112669989747 0.7948753353027871 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 59 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 59 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4867109103940270 0.7948753353027871 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 59 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 59 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9899105537890793 0.7948753353027871 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 59 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 59 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.493110197184132 0.794875335302787 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 59 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 59 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9963098405791841 0.7948753353027871 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 59 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 59 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.499509483974236 0.794875335302787 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 59 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
0.48031162360392243 1.58930380752597378 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9835112669989747 1.5893038075259738 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4867109103940270 1.5893038075259738 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9899105537890793 1.5893038075259738 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4931101971841318 1.5893038075259738 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9963098405791841 1.5893038075259738 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 38 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4995094839742364 1.5893038075259738 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 38 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
0.48031162360392243 2.38373227974916091 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9835112669989747 2.3837322797491609 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4867109103940270 2.3837322797491609 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9899105537890793 2.3837322797491609 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4931101971841318 2.3837322797491609 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9963098405791841 2.3837322797491609 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 30 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4995094839742364 2.3837322797491609 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 30 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
0.48031162360392243 3.17816075197234760 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9835112669989747 3.1781607519723476 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4867109103940270 3.1781607519723476 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9899105537890793 3.1781607519723476 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4931101971841318 3.1781607519723476 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9963098405791841 3.1781607519723476 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 27 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4995094839742364 3.1781607519723476 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 27 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
0.48031162360392243 3.97258922419553429 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9835112669989747 3.9725892241955343 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4867109103940270 3.9725892241955343 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9899105537890793 3.9725892241955343 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4931101971841318 3.9725892241955343 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9963098405791841 3.9725892241955343 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4995094839742364 3.9725892241955343 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?               Var1                Var2 
0.48031162360392243 4.76701769641872097 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9835112669989747 4.7670176964187210 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4867109103940270 4.7670176964187210 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9899105537890793 4.7670176964187210 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4931101971841318 4.7670176964187210 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9963098405791841 4.7670176964187210 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 22 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4995094839742364 4.7670176964187210 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 22 is not positive de"| __truncated__
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1.000997 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 0.9990027 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
LSQ WARNING! forbidden values ! 1 0.001926445 [ 0 0.001926445 , 9.972825 18.62213 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1 0.0004816113 [ 0 0.0004816113 , 9.972825 18.62213 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1.000997 0.0004816113 [ 0 0.0004816113 , 9.972825 18.62213 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 0.9990027 0.0004816113 [ 0 0.0004816113 , 9.972825 18.62213 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1 0.0004816113 [ 0 0.0004816113 , 9.972825 18.62213 ]
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 55 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4189419916180130 0.8181182762119374 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 55 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 55 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9263136989278598 0.8181182762119374 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 55 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 55 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4336854062377065 0.8181182762119374 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 55 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 55 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9410571135475532 0.8181182762119374 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 55 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 55 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4484288208573997 0.8181182762119374 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 55 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 55 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9558005281672468 0.8181182762119374 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 55 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 55 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4631722354770931 0.8181182762119374 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 55 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4189419916180130 1.6358571586482173 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9263136989278598 1.6358571586482173 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4336854062377065 1.6358571586482173 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9410571135475532 1.6358571586482173 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4484288208573997 1.6358571586482173 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9558005281672468 1.6358571586482173 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 40 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4631722354770931 1.6358571586482173 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 40 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 33 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.4189419916180130 2.4535960410844968 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 33 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 33 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9263136989278598 2.4535960410844968 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 33 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 33 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4336854062377065 2.4535960410844968 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 33 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 33 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.9410571135475532 2.4535960410844968 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 33 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 33 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.4484288208573997 2.4535960410844968 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 33 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 33 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
2.9558005281672468 2.4535960410844968 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 33 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 33 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
3.4631722354770931 2.4535960410844968 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 33 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
0.418941991618013 3.271334923520777 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9263136989278598 3.2713349235207767 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4336854062377065 3.2713349235207767 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.941057113547553 3.271334923520777 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.448428820857400 3.271334923520777 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.955800528167247 3.271334923520777 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 31 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.463172235477093 3.271334923520777 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 31 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
0.418941991618013 4.089073805957057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9263136989278598 4.0890738059570566 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4336854062377065 4.0890738059570566 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.941057113547553 4.089073805957057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.448428820857400 4.089073805957057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.955800528167247 4.089073805957057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 26 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.463172235477093 4.089073805957057 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 26 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
0.418941991618013 4.906812688393337 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
0.9263136989278598 4.9068126883933365 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?              Var1               Var2 
1.4336854062377065 4.9068126883933365 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
1.941057113547553 4.906812688393337 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.448428820857400 4.906812688393337 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
2.955800528167247 4.906812688393337 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
Error in chol(CC <- matrix(.C("CovarianceMatrixNatSc", distances, lc,  : 
	the leading minor of order 24 is not positive definite

error in cholesky decomposition -- matrix pos def?             Var1              Var2 
3.463172235477093 4.906812688393337 
Class 'try-error'  chr "Error in chol(CC <- matrix(.C(\"CovarianceMatrixNatSc\", distances, lc,  : \n\tthe leading minor of order 24 is not positive de"| __truncated__
LSQ WARNING! forbidden values ! 1 0.003463774 [ 0 0.003463774 , 9.972825 17.71370 ]
LSQ WARNING! forbidden values ! 1.000997 0.003463774 [ 0 0.003463774 , 9.972825 17.71370 ]
LSQ WARNING! forbidden values ! 0.9990027 0.003463774 [ 0 0.003463774 , 9.972825 17.71370 ]
LSQ WARNING! forbidden values ! 1 0.003463774 [ 0 0.003463774 , 9.972825 17.71370 ]
LSQ WARNING! forbidden values ! 1.000997 0.003463774 [ 0 0.003463774 , 9.972825 17.71370 ]
LSQ WARNING! forbidden values ! 0.9990027 0.003463774 [ 0 0.003463774 , 9.972825 17.71370 ]
G wave(gneit) e=TRUE s=FALSE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G wave(gneit) e=TRUE s=FALSE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
G expon(gneit) e=TRUE s=FALSE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G expon(gneit) e=TRUE s=FALSE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
4 : simulate variance model (Ex. 3), intensity=100 
G exponential(exponential) e=TRUE s=TRUE radius=0.05 R=1e-04 intens.=100 len=1.414214 wid=1.414214
LSQ WARNING! forbidden values ! 1 0.003683282 [ 0 0.003683282 , 9.972825 18.97592 ]
LSQ WARNING! forbidden values ! 1.000997 0.003683282 [ 0 0.003683282 , 9.972825 18.97592 ]
LSQ WARNING! forbidden values ! 0.9990027 0.003683282 [ 0 0.003683282 , 9.972825 18.97592 ]
G exponential(exponential) e=TRUE s=TRUE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.05 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.1 R=1e-04 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.05 R=0.05 intens.=100 len=1.414214 wid=1.414214
G exponential(exponential) e=TRUE s=TRUE radius=0.1 R=0.05 intens.=100 len=1.414214 wid=1.414214
5 : simulate coin model (Ex. 1), intensity=200 
not considered in the summaries, hence jumped
6 : simulate variance model (Ex. 3), intensity=200 
not considered in the summaries, hence jumped
7 : simulate nearest neighbour model (Ex. 2) 
Gnn R=1e-04 repet=2 intensity=12.5 length=1 width=1
Gnn R=0.05 repet=2 intensity=12.5 length=1 width=1
Gnn R=1e-04 repet=2 intensity=25 length=1.414214 width=1.414214
LSQ WARNING! forbidden values ! 1 0.008703246 [ 0 0.008703246 , 9.90169 14.68345 ]
LSQ WARNING! forbidden values ! 1.000990 0.008703246 [ 0 0.008703246 , 9.90169 14.68345 ]
LSQ WARNING! forbidden values ! 0.9990098 0.008703246 [ 0 0.008703246 , 9.90169 14.68345 ]
Gnn R=0.05 repet=2 intensity=25 length=1.414214 width=1.414214
Gnn R=1e-04 repet=2 intensity=25 length=1 width=1
LSQ WARNING! forbidden values ! 1 0.003088126 [ 0 0.003088126 , 9.90169 11.50258 ]
LSQ WARNING! forbidden values ! 1.000990 0.003088126 [ 0 0.003088126 , 9.90169 11.50258 ]
LSQ WARNING! forbidden values ! 0.9990098 0.003088126 [ 0 0.003088126 , 9.90169 11.50258 ]
Gnn R=0.05 repet=2 intensity=25 length=1 width=1
LSQ WARNING! forbidden values ! 1 0.008682344 [ 0 0.008682344 , 9.90169 11.06283 ]
LSQ WARNING! forbidden values ! 1.000990 0.008682344 [ 0 0.008682344 , 9.90169 11.06283 ]
LSQ WARNING! forbidden values ! 0.9990098 0.008682344 [ 0 0.008682344 , 9.90169 11.06283 ]
LSQ WARNING! forbidden values ! 1 0.003584172 [ 0 0.003584172 , 9.90169 11.18257 ]
LSQ WARNING! forbidden values ! 1.000990 0.003584172 [ 0 0.003584172 , 9.90169 11.18257 ]
LSQ WARNING! forbidden values ! 0.9990098 0.003584172 [ 0 0.003584172 , 9.90169 11.18257 ]
Gnn R=1e-04 repet=2 intensity=50 length=1 width=1
Gnn R=0.05 repet=2 intensity=50 length=1 width=1
LSQ WARNING! forbidden values ! 1 0.002942397 [ 0 0.002942397 , 9.948065 11.50608 ]
LSQ WARNING! forbidden values ! 1.000995 0.002942397 [ 0 0.002942397 , 9.948065 11.50608 ]
LSQ WARNING! forbidden values ! 0.9990052 0.002942397 [ 0 0.002942397 , 9.948065 11.50608 ]
Gnn R=1e-04 repet=2 intensity=50 length=1.414214 width=1.414214
Gnn R=0.05 repet=2 intensity=50 length=1.414214 width=1.414214
Gnn R=1e-04 repet=2 intensity=50 length=2 width=2
Gnn R=0.05 repet=2 intensity=50 length=2 width=2
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1.000995 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 0.9990052 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1.000995 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 0.9990052 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1.000995 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 0.9990052 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1.000995 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 0.9990052 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
LSQ WARNING! forbidden values ! 1 0.007474563 [ 0 0.007474563 , 9.948065 24.75877 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1 0.001868641 [ 0 0.001868641 , 9.948065 24.75877 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1.000995 0.001868641 [ 0 0.001868641 , 9.948065 24.75877 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 0.9990052 0.001868641 [ 0 0.001868641 , 9.948065 24.75877 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1 0.001868641 [ 0 0.001868641 , 9.948065 24.75877 ]
Gnn R=1e-04 repet=2 intensity=100 length=1.414214 width=1.414214
Gnn R=0.05 repet=2 intensity=100 length=1.414214 width=1.414214
Gnn R=1e-04 repet=2 intensity=100 length=2 width=2
Gnn R=0.05 repet=2 intensity=100 length=2 width=2
Gnn R=1e-04 repet=2 intensity=100 length=2.828427 width=2.828427
Gnn R=0.05 repet=2 intensity=100 length=2.828427 width=2.828427
8 : plot figure 1 (simulations above must have been performed) 
plot.fig1 1 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.5.5.100.E.90.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.5.5.100.E.95.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.5.5.100.V.90.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.5.5.100.V.95.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.5.5.100.S.90.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.5.5.100.S.95.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.5.5.100.E.90.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.5.5.100.E.95.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.5.5.100.V.90.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.5.5.100.V.95.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.5.5.100.S.90.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.5.5.100.S.95.eps 
plot.fig1 2 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.10.5.100.E.90.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.10.5.100.E.95.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.10.5.100.V.90.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.10.5.100.V.95.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.10.5.100.S.90.eps 
creating ps/additive-2.FALSE.TRUE.TRUE.exponential.exponential.10.5.100.S.95.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.10.5.100.E.90.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.10.5.100.E.95.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.10.5.100.V.90.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.10.5.100.V.95.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.10.5.100.S.90.eps 
creating ps/additive-2.TRUE.TRUE.TRUE.exponential.exponential.10.5.100.S.95.eps 
9 : tables 1-3 (simulations above must have been performed) 

 2  1  1  1
 2  1  1  2
 2  2  2  1
 2  2  2  2
 2  3  3  1
 2  3  3  2
 2  4  4  1
 2  4  4  2
 2  4  4  3
 2  4  4  4
 2  5  5  1
 2  6  6  110 : test and plot data (Coulissenhieb) 
creating ps/coulissenhieb.eps 
file name  ps/coulissenhieb  TRUE 8.1521 
 Message: Using stored initialization.
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1.677018 0.02217531 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.506189 0.02217531 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.335361 0.02217531 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.164532 0.02217531 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1.677018 196.3704 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.506189 196.3704 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.335361 196.3704 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.164532 196.3704 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1.677018 392.7187 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.506189 392.7187 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.335361 392.7187 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.164532 392.7187 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 1.677018 589.0669 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.506189 589.0669 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.335361 589.0669 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.164532 589.0669 1.109753 [ 0.01 0.02217531 0 , 10 1826.258 1 ]
creating ps/coulissenhieb.Ebin.ps 
creating ps/coulissenhieb.VARbin.ps 
creating ps/coulissenhieb.E.1.1.1.ps 
creating ps/coulissenhieb.V.1.1.1.ps 
creating ps/coulissenhieb.SQ.1.1.1.ps 
creating ps/coulissenhieb.KMMbin.ps 
creating ps/coulissenhieb.K.1.1.0.0.ps 
creating ps/coulissenhieb.G.1.1.0.0.ps 
creating ps/coulissenhieb.GvsK.1.1.0.0.ps 
creating ps/coulissenhieb.confidence.gamma.eps 
creating ps/data.E.eps 
creating ps/data.V.eps 
creating ps/data.G.eps 
creating ps/data.n.eps 
11 : test and plot data (Steigerwald) 
creating ps/steigerwald.eps 
file name  ps/steigerwald  TRUE 8.451179 
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.181557 0.01808660 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.808748 0.01808660 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.435938 0.01808660 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.063129 0.01808660 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.181557 146.195 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.808748 146.195 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.435938 146.195 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.063129 146.195 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.181557 292.3719 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.808748 292.3719 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.435938 292.3719 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.063129 292.3719 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.181557 438.5488 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.808748 438.5488 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.435938 438.5488 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.063129 438.5488 1.109465 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
 Message: Using stored initialization.
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.088151 0.01808660 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.752452 0.01808660 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.416753 0.01808660 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.081054 0.01808660 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.088151 145.9351 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.752452 145.9351 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.416753 145.9351 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.081054 145.9351 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.088151 291.8522 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.752452 291.8522 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.416753 291.8522 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.081054 291.8522 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.088151 437.7692 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.752452 437.7692 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.416753 437.7692 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.081054 437.7692 1.109203 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.284022 0.01808660 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.870319 0.01808660 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.456616 0.01808660 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.042913 0.01808660 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.284022 146.3553 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.870319 146.3553 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.456616 146.3553 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.042913 146.3553 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.284022 292.6924 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.870319 292.6924 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.456616 292.6924 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.042913 292.6924 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 2.284022 439.0296 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 3.870319 439.0296 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 5.456616 439.0296 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
ML WARNING! forbidden variab values ! -- if there are too many warnings try narrower lower and upper bounds for the variables. 7.042913 439.0296 1.110426 [ 0.01 0.01808660 0 , 10 1364.372 1 ]
creating ps/steigerwald.Ebin.ps 
creating ps/steigerwald.VARbin.ps 
creating ps/steigerwald.E.1.1.1.ps 
creating ps/steigerwald.V.1.1.1.ps 
creating ps/steigerwald.SQ.1.1.1.ps 
creating ps/steigerwald.KMMbin.ps 
creating ps/steigerwald.K.1.1.0.0.ps 
creating ps/steigerwald.G.1.1.0.0.ps 
creating ps/steigerwald.GvsK.1.1.0.0.ps 
creating ps/steigerwald.confidence.gamma.eps 
creating ps/data.E.eps 
creating ps/data.V.eps 
creating ps/data.G.eps 
creating ps/data.n.eps 
12 : test and plot data (Coulissenhieb and Biondi et al.) 
The data by Biondi et al. are not included in the package. 
Please contact the authors directly and pass the data 
to the function in the same format as coulissenhieb 
using the variable biondi.etal. See manual for further 
details.
13 : sketches of the theoretical examples 
creating ps/coin.EVG.eps 
creating ps/var.EVG.eps 
creating ps/nn.EVG.eps 
Warning in adapt(2, lower = c(0, 0), upper = c(x[i], x[i]), min = 100, max = 1000,  : 
	 Ifail=2, lenwrk was too small. -- fix adapt() !
 Check the returned relerr!
14 : create dvi (#8, #9, #12 must have been performed -- linux machines only!) 
/usr/local/teTeX/bin/powerpc-apple-darwin-current/latex
/usr/local/teTeX/bin/powerpc-apple-darwin-current/xdvi
Read 119 items
  [1] "\\def\\path{/your.path/tmp.ps/}"                                              
  [2] "\\def\\texpath{/your.path/tmp.tex/}"                                          
  [3] "\\def\\additive{additive-2}"                                                  
  [4] "\\def\\variance{variance-2}"                                                  
  [5] "\\def\\nn{nn-2}"                                                              
  [6] ""                                                                             
  [7] ""                                                                             
  [8] "\\documentclass[10pt]{article}"                                               
  [9] "\\usepackage{graphicx}"                                                       
 [10] "\\usepackage{amssymb}"                                                        
 [11] "\\textwidth=16.6truecm"                                                       
 [12] "\\textheight=24.8truecm"                                                      
 [13] "\\hoffset=-2.2truecm"                                                         
 [14] "\\voffset=-3truecm"                                                           
 [15] ""                                                                             
 [16] "\\def\\1{{\\mathbb I}}"                                                       
 [17] "\\def\\const{\\hbox{\\rm const}}"                                             
 [18] "\\def\\D{{\\,\\rm d}}"                                                        
 [19] "\\def\\EE{\\mathop{E}\\nolimits}"                                             
 [20] "\\def\\mid{|}"                                                                
 [21] "\\def\\NN{{\\mathbb  N}}"                                                     
 [22] "\\def\\RR{{\\mathbb  R}}"                                                     
 [23] "\\def\\ZZ{{\\mathbb Z}}"                                                      
 [24] "\\def\\bold#1{{\\bf #1}}"                                                     
 [25] ""                                                                             
 [26] ""                                                                             
 [27] "\\begin{document}"                                                            
 [28] ""                                                                             
 [29] "\\begin{table}"                                                               
 [30] "\\input \\texpath\\additive.1.tex "                                           
 [31] "\\end{table}"                                                                 
 [32] ""                                                                             
 [33] "\\begin{table}"                                                               
 [34] "\\input \\texpath\\variance.3.tex"                                            
 [35] "\\end{table}"                                                                 
 [36] ""                                                                             
 [37] "\\begin{table}"                                                               
 [38] "\\input \\texpath\\nn.2.tex"                                                  
 [39] "\\end{table}"                                                                 
 [40] ""                                                                             
 [41] ""                                                                             
 [42] "\\def\\FigOOO#1{"                                                             
 [43] "  \\label{fig:#1}"                                                            
 [44] "   Dependency of the mean rejection rate from the portion $\\alpha$"          
 [45] "   for the random coin model."                                                
 [46] "   The Gaussian random field has"                                             
 [47] "  exponential covariance function and scale $s=0.05$;"                        
 [48] "  the simulations are based on $n=100$ points."                               
 [49] "  Left: ``$E(h)=\\const$''; right: ``$V(h)=\\const$'';"                       
 [50] "  top: $R=0.05$; bottom: $R=0.1$."                                            
 [51] "  Each figure gives the performances for all six cross-combinations of "      
 [52] "  tests using the $l_1$ or the $l_\\infty$ norm ($\\Box$ and $\\times$,"      
 [53] "  respectively)"                                                              
 [54] "  and one of the set of "                                                     
 [55] "  weights $w^{(i)}_3$,   $w^{(i)}_5$, or $w^{(i)}_7$ (dashed line, solid,"    
 [56] "  dotted, respectively)."                                                     
 [57] "}"                                                                            
 [58] " \\begin{figure}"                                                             
 [59] " \\begin{center}"                                                             
 [60] "  \\includegraphics[width=6.7cm]{\\path\\additive "                           
 [61] "    .FALSE.TRUE.TRUE.exponential.exponential.5.5.100.E.95.eps}"               
 [62] "  \\includegraphics[width=6.7cm]{\\path\\additive "                           
 [63] "    .FALSE.TRUE.TRUE.exponential.exponential.5.5.100.V.95.eps}\\\\[-0mm]"     
 [64] "  \\includegraphics[width=6.7cm]{\\path\\additive"                            
 [65] "    .FALSE.TRUE.TRUE.exponential.exponential.10.5.100.E.95.eps} "             
 [66] "  \\includegraphics[width=6.7cm]{\\path\\additive"                            
 [67] "    .FALSE.TRUE.TRUE.exponential.exponential.10.5.100.V.95.eps}  "            
 [68] " \\caption{\\FigOOO{simu.E}}"                                                 
 [69] " \\end{center}"                                                               
 [70] "\\end{figure}"                                                                
 [71] ""                                                                             
 [72] ""                                                                             
 [73] "\\def\\FigOOOO#1{Data sets: (a) Coulissenhieb, the diameters of the"          
 [74] " stems are enlarged by a factor of 5; (b) Gus Pearson,"                       
 [75] " the symbols \\raise -3pt\\hbox{\\huge $\\cdot$}, $\\circ$, "                 
 [76] " {\\tiny$\\bigtriangleup$}, $+$,"                                             
 [77] " $\\bullet$, "                                                                
 [78] "  represent $0-50$, $50-100$, $100-150$, $150-200$ and $>200 {\\;\\rm"        
 [79] " cm}^2$ of growth, respectively.\\label{fig:#1}}"                             
 [80] "\\begin{figure}"                                                              
 [81] "(a) \\includegraphics[width=13cm]{\\path coulissenhieb.eps}\\\\"              
 [82] "(b) \\includegraphics[width=13cm]{\\path biondi.etal.eps}"                    
 [83] "\\vspace*{2mm}"                                                               
 [84] ""                                                                             
 [85] "\\caption{\\FigOOOO{data.plot}}"                                              
 [86] "\\end{figure}"                                                                
 [87] ""                                                                             
 [88] "\\def\\FigOne#1{Gus Pearson data set: dots: empirical variogram; black curve:"
 [89] " variogram model; dashed lines: 95\\% confidence bounds \\label{fig:#1}}"     
 [90] "\\begin{figure}"                                                              
 [91] " \\hfil \\includegraphics[height=3.3cm]{\\path"                               
 [92] "   biondi.etal.confidence.gamma.eps}\\hfill "                                 
 [93] " \\caption{\\FigOne{confidence}}"                                             
 [94] "\\end{figure}"                                                                
 [95] ""                                                                             
 [96] "\\def\\FigO#1{ Characterising functions of the"                               
 [97] " data after transformation of the marks to marginally"                        
 [98] " Gaussian variables;"                                                         
 [99] " $\\bigtriangleup$: Coulissenhieb, $\\bullet$: Gus Pearson, "                 
[100] " (a) $\\hat E$, (b) $\\hat V$, (c) $\\hat \\gamma$ and Mat\\'ern model"       
[101] " fitted by maximum likelihood"                                                
[102] " \\label{fig:#1}}"                                                            
[103] "\\begin{figure}"                                                              
[104] "  \\hbox{(a) \\includegraphics[height=4.4cm]{\\path data.E.eps} "             
[105] "    (b) \\includegraphics[height=4.4cm]{\\path data.V.eps}"                   
[106] "    (c) \\includegraphics[height=4.4cm]{\\path data.G.eps}}"                  
[107] "  \\caption{\\FigO{data.EVG}}"                                                
[108] "\\end{figure}"                                                                
[109] ""                                                                             
[110] "% last table missing"                                                         
[111] "\\clearpage"                                                                  
[112] ""                                                                             
[113] ""                                                                             
[114] "\\end{document}"                                                              
[115] ""                                                                             
[116] "%%% Local Variables: "                                                        
[117] "%%% mode: latex"                                                              
[118] "%%% TeX-master: t"                                                            
[119] "%%% End: "                                                                    
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