* using log directory 'd:/Rcompile/CRANpkg/local/3.3/FRegSigCom.Rcheck'
* using R version 3.3.3 (2017-03-06)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* checking for file 'FRegSigCom/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'FRegSigCom' version '0.2.1'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'FRegSigCom' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* loading checks for arch 'i386'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
** checking use of S3 registration ... OK
* loading checks for arch 'x64'
** checking whether the package can be loaded ... OK
** checking whether the package can be loaded with stated dependencies ... OK
** checking whether the package can be unloaded cleanly ... OK
** checking whether the namespace can be loaded with stated dependencies ... OK
** checking whether the namespace can be unloaded cleanly ... OK
** checking loading without being on the library search path ... OK
** checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of 'data' directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking compiled code ... OK
* checking examples ...
** running examples for arch 'i386' ... ERROR
Running examples in 'FRegSigCom-Ex.R' failed
The error most likely occurred in:

> ### Name: step.ff.interaction
> ### Title: Stepwise variable selection procedure for FOF regression models
> ###   with two-way interactions
> ### Aliases: step.ff.interaction
> 
> ### ** Examples
> 
> 
> library(FRegSigCom)
> data(ocean)
> 
> Y=ocean$Salinity
> X=list()
> X[[1]]=ocean$Potential.density
> X[[2]]=ocean$Temperature
> X[[3]]=ocean$Oxygen
> X[[4]]=ocean$Chloropigment
> n.curves=length(X)
> ntot=dim(Y)[1]
> ntrain=60
> ntest=ntot-ntrain
> X.uncent=X
> for(i in 1:n.curves){
+   X[[i]]=scale(X.uncent[[i]],center=TRUE, scale=FALSE)
+ }
> lengthX=dim(X[[1]])[2]
> lengthY=dim(Y)[2]
> t.x=seq(0,1,length=lengthX)
> t.y=seq(0,1,length=lengthY)
> I.train=sample(1:ntot, ntrain)
> X.train=list()
> X.test=list()
> t.x.all=list()
> for(j in 1:n.curves){
+   X.train[[j]]=X[[j]][I.train,]
+   X.test[[j]]=X[[j]][-I.train,]
+   t.x.all[[j]]=t.x
+ }
> Y.train=Y[I.train, ]
> Y.test=Y[-I.train, ]
> 
> 
> ###############################
> #model selection
> ###############################
> 
> fit.step=step.ff.interaction(X.train, Y.train, t.x.all, t.y)
################################################################## 
Step  1
** CV procedure for calculation of CV error** 
min_cv_error 1e+020
current_cv_error 0.0349587
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2 4
the interaction effecs after this step is empty!
################################################################## 
Step  2
** CV procedure for calculation of CV error** 
min_cv_error 0.0349587
current_cv_error 0.0301336
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2 4
the interaction effecs after this step=
(2,2)
################################################################## 
Step  3
** CV procedure for calculation of CV error** 
min_cv_error 0.0301336
current_cv_error 0.0259739
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2
the interaction effecs after this step=
(2,2)
################################################################## 
Step  4
** CV procedure for calculation of CV error** 
min_cv_error 0.0259739
current_cv_error 0.0257188
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2 4
the interaction effecs after this step=
(2,2)
################################################################## 
Step  5
** CV procedure for calculation of CV error** 
min_cv_error 0.0257188
current_cv_error 0.0259739
################################################################## 
finally selected main effecs= 1 2
finally selected interation effecs=
(2,2)
################################################################## 
**CV procedure for nonadaptive fitting**
**(used to determine the adaptive constants)**
** running examples for arch 'x64' ... ERROR
Running examples in 'FRegSigCom-Ex.R' failed
The error most likely occurred in:

> ### Name: step.ff.interaction
> ### Title: Stepwise variable selection procedure for FOF regression models
> ###   with two-way interactions
> ### Aliases: step.ff.interaction
> 
> ### ** Examples
> 
> 
> library(FRegSigCom)
> data(ocean)
> 
> Y=ocean$Salinity
> X=list()
> X[[1]]=ocean$Potential.density
> X[[2]]=ocean$Temperature
> X[[3]]=ocean$Oxygen
> X[[4]]=ocean$Chloropigment
> n.curves=length(X)
> ntot=dim(Y)[1]
> ntrain=60
> ntest=ntot-ntrain
> X.uncent=X
> for(i in 1:n.curves){
+   X[[i]]=scale(X.uncent[[i]],center=TRUE, scale=FALSE)
+ }
> lengthX=dim(X[[1]])[2]
> lengthY=dim(Y)[2]
> t.x=seq(0,1,length=lengthX)
> t.y=seq(0,1,length=lengthY)
> I.train=sample(1:ntot, ntrain)
> X.train=list()
> X.test=list()
> t.x.all=list()
> for(j in 1:n.curves){
+   X.train[[j]]=X[[j]][I.train,]
+   X.test[[j]]=X[[j]][-I.train,]
+   t.x.all[[j]]=t.x
+ }
> Y.train=Y[I.train, ]
> Y.test=Y[-I.train, ]
> 
> 
> ###############################
> #model selection
> ###############################
> 
> fit.step=step.ff.interaction(X.train, Y.train, t.x.all, t.y)
################################################################## 
Step  1
** CV procedure for calculation of CV error** 
min_cv_error 1e+020
current_cv_error 0.0349587
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2 4
the interaction effecs after this step is empty!
################################################################## 
Step  2
** CV procedure for calculation of CV error** 
min_cv_error 0.0349587
current_cv_error 0.0301336
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2 4
the interaction effecs after this step=
(2,2)
################################################################## 
Step  3
** CV procedure for calculation of CV error** 
min_cv_error 0.0301336
current_cv_error 0.0259739
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2
the interaction effecs after this step=
(2,2)
################################################################## 
Step  4
** CV procedure for calculation of CV error** 
min_cv_error 0.0259739
current_cv_error 0.0257188
** determine effects added or removed from the current model ** 
the main effecs after this step= 1 2 4
the interaction effecs after this step=
(2,2)
################################################################## 
Step  5
** CV procedure for calculation of CV error** 
min_cv_error 0.0257188
current_cv_error 0.0259739
################################################################## 
finally selected main effecs= 1 2
finally selected interation effecs=
(2,2)
################################################################## 
**CV procedure for nonadaptive fitting**
**(used to determine the adaptive constants)**
**CV procedure for adaptive fitting**
> Y.pred=pred.ff.interaction(fit.step,  X.test)
> error.selected=mean((Y.pred-Y.test)^2)
> print(c("error.selected=", error.selected))
[1] "error.selected="      "0.000319805983347938"
> coef.obj=getcoef.ff.interaction(fit.step)
> str(coef.obj)
List of 5
 $ intercept    :
* checking PDF version of manual ... OK
* DONE
Status: 2 ERRORs