print.sgpls: Print function for a SGPLS object

In spls: Sparse Partial Least Squares (SPLS) Regression and Classification

Description

Print out SGPLS fit, the number and the list of selected predictors.

Usage

## S3 method for class 'sgpls'
print( x, ... )

Arguments

x	A fitted SGPLS object.
...	Additonal arguments for generic print.

Value

NULL.

Author(s)

Dongjun Chung and Sunduz Keles.

References

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.

See Also

predict.sgpls and coef.sgpls.

Examples

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)

spls documentation built on May 6, 2019, 1:09 a.m.