permcoefs.plsR: Coefficients for permutation bootstrap computations of PLSR...

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Coefficients for permutation bootstrap computations of PLSR models

Description

A function passed to boot to perform bootstrap.

Usage

permcoefs.plsR(dataset, ind, nt, modele, maxcoefvalues, ifbootfail, verbose)

Arguments

dataset	dataset to resample
ind	indices for resampling
nt	number of components to use
modele	type of modele to use, see plsR
maxcoefvalues	maximum values allowed for the estimates of the coefficients to discard those coming from singular bootstrap samples
ifbootfail	value to return if the estimation fails on a bootstrap sample
verbose	should info messages be displayed ?

Value

estimates on a bootstrap sample or ifbootfail value if the bootstrap computation fails.

Author(s)

Frédéric Bertrand
[e-mail]
https://fbertran.github.io/homepage/

See Also

See also bootpls.

Examples

data(Cornell)
XCornell<-Cornell[,1:7]
yCornell<-Cornell[,8]

# Lazraq-Cleroux PLS (Y,X) bootstrap
# statistic=permcoefs.plsR is the default for (Y,X) permutation resampling of PLSR models.
set.seed(250)
modpls <- plsR(yCornell,XCornell,1)
Cornell.bootYX <- bootpls(modpls, sim="permutation", R=250, statistic=permcoefs.plsR, verbose=FALSE)

plsRglm documentation built on March 31, 2023, 11:10 p.m.