| print.splsda {spls} | R Documentation |
Print out SPLSDA fits, the number and the list of selected predictors.
## S3 method for class 'splsda' print( x, ... )
x |
A fitted SPLSDA object. |
... |
Additonal arguments for generic |
NULL.
Dongjun Chung and Sunduz Keles.
Chung D and Keles S (2010), "Sparse partial least squares classification for high dimensional data", Statistical Applications in Genetics and Molecular Biology, Vol. 9, Article 17.
predict.splsda and coef.splsda.
data(prostate) # SPLSDA with eta=0.8 & 3 hidden components f <- splsda( prostate$x, prostate$y, K=3, eta=0.8, scale.x=FALSE ) print(f)