print.sgpls {spls} | R Documentation |
Print out SGPLS fit, the number and the list of selected predictors.
## S3 method for class 'sgpls': print( x, ... )
x |
A fitted SGPLS object. |
... |
Additonal arguments for generic print . |
NULL.
Dongjun Chung and Sunduz Keles.
Chung, D. and Keles, S. (2009). "Sparse partial least squares classification for high dimensional data" (http://www.stat.wisc.edu/~keles/Papers/C_SPLS.pdf).
predict.sgpls
and coef.sgpls
.
data(prostate) # SGPLS with eta=0.55 & 3 hidden components f <- sgpls( prostate$x, prostate$y, K=3, eta=0.55, scale.x=FALSE ) print(f)