permcoefs.plsRnp {plsRglm} | R Documentation |
Coefficients computation for permutation bootstrap
Description
A function passed to boot
to perform bootstrap.
Usage
permcoefs.plsRnp(
dataRepYtt,
ind,
nt,
modele,
maxcoefvalues,
wwetoile,
ifbootfail
)
Arguments
dataRepYtt |
components' coordinates to bootstrap |
ind |
indices for resampling |
nt |
number of components to use |
modele |
type of modele to use, see plsRglm |
maxcoefvalues |
maximum values allowed for the estimates of the coefficients to discard those coming from singular bootstrap samples |
wwetoile |
values of the Wstar matrix in the original fit |
ifbootfail |
value to return if the estimation fails on a bootstrap sample |
Value
estimates on a bootstrap sample or ifbootfail
value if the
bootstrap computation fails.
Author(s)
Frédéric Bertrand
frederic.bertrand@utt.fr
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=coefs.plsR is the default for (Y,X) resampling of PLSR models.
set.seed(250)
modpls <- plsR(yCornell,XCornell,1)
Cornell.bootYT <- bootpls(modpls, R=250, typeboot="fmodel_np", sim="permutation",
statistic=permcoefs.plsRnp, verbose=FALSE)
[Package plsRglm version 1.5.1 Index]