d.spls.plot: Plots the coefficient curve of a Dual-SPLS regression

In dual.spls: Dual Sparse Partial Least Squares Regression

Plots the coefficient curve of a Dual-SPLS regression

Description

The function dual.spls.plot provides the regression coefficient curves of a Dual-SPLS model for a specified number of components and the mean of the original data plot.

Usage

d.spls.plot(mod.dspls,ncomp)

Arguments

mod.dspls	is a fitted Dual-SPLS object.
ncomp	a positive integer or a numeric vector of the number of Dual-SPLS components to consider.

Details

The plots allow the visualization of the results by comparing the mean of the original data to the coefficients regression in the case of a Dual-SPLS regression. The plots provided correspond to the Dual-SPLS coefficients for each ncomp desired.

Value

no return value

Author(s)

Louna Alsouki François Wahl

Examples

### load dual.spls library
library(dual.spls)
### constructing the simulated example
n <- 100
p <- 50
nondes <- 20
sigmaondes <- 0.5
data=d.spls.simulate(n=n,p=p,nondes=nondes,sigmaondes=sigmaondes)

X <- data$X
y <- data$y

#fitting the Dual-SPLS lasso model

mod.dspls.lasso <- d.spls.lasso(X=X,y=y,ncp=10,ppnu=0.9,verbose=TRUE)

ncomp=c(5,6,7)
d.spls.plot(mod.dspls.lasso,ncomp)

dual.spls documentation built on April 19, 2023, 1:07 a.m.