print.regRSM: Print 'regRSM' object.

In regRSM: Random Subspace Method (RSM) for Linear Regression

Description

This function print the summary of the RSM procedure.

Usage

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

Arguments

x	Fitted 'regRSM' model object.
...	Additional arguments not used.

Details

The function prints out information about the selection method, screening, initial weights, version (sequential or parallel), size of the random subpace, number of simulations.

Author(s)

Pawel Teisseyre, Robert A. Klopotek.

Examples

p=100
n=100
beta1 = numeric(p)
beta1[c(1,5,10)]=c(1,1,1)
x = matrix(0,ncol=p,nrow=n)
xval = matrix(0,ncol=p,nrow=n)
xtest = matrix(0,ncol=p,nrow=n)
for(j in 1:p){
    x[,j]=rnorm(n,0,1)
}
y = x %*% beta1 + rnorm(n)

p1=regRSM(x,y)
print(p1)

regRSM documentation built on May 2, 2019, 7:01 a.m.