permcoefs.plsR.CSim {bootPLS}

Permutation bootstrap (Y,T) function for PLSR

Description

Permutation bootstrap (Y,T) function for PLSR

Usage

permcoefs.plsR.CSim(dataset, i)

Arguments

dataset

Dataset with tt

i

Index for resampling

Value

Coefficient of the last variable in the linear regression lm(dataset[i,1] ~ dataset[,-1] - 1) computed using permutation resampling.

Author(s)

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

References

A new bootstrap-based stopping criterion in PLS component construction, J. Magnanensi, M. Maumy-Bertrand, N. Meyer and F. Bertrand (2016), in The Multiple Facets of Partial Least Squares and Related Methods, doi: 10.1007/978-3-319-40643-5_18

A new universal resample-stable bootstrap-based stopping criterion for PLS component construction, J. Magnanensi, F. Bertrand, M. Maumy-Bertrand and N. Meyer, (2017), Statistics and Compututing, 27, 757–774. doi: 10.1007/s11222-016-9651-4

New developments in Sparse PLS regression, J. Magnanensi, M. Maumy-Bertrand, N. Meyer and F. Bertrand, (2021), Frontiers in Applied Mathematics and Statistics, accepted.

Examples

set.seed(314)
xran=matrix(rnorm(150),30,5)
permcoefs.plsR.CSim(xran,sample(1:30))