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bootPLS  

Bootstrap Hyperparameter Selection for PLS Models and Extensions
View on CRAN: Click here


Download and install bootPLS package within the R console
Install from CRAN:
install.packages("bootPLS")

Install from Github:
library("remotes")
install_github("cran/bootPLS")

Install by package version:
library("remotes")
install_version("bootPLS", "1.1.0")



Attach the package and use:
library("bootPLS")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-15
Latest Update: 2024-09-24
Description:
Several implementations of non-parametric stable bootstrap-based techniques to determine the numbers of components for Partial Least Squares linear or generalized linear regression models as well as and sparse Partial Least Squares linear or generalized linear regression models. The package collects techniques that were published in a book chapter (Magnanensi et al. 2016, 'The Multiple Facets of Partial Least Squares and Related Methods', ) and two articles (Magnanensi et al. 2017, 'Statistics and Computing', ) and (Magnanensi et al. 2021, 'Frontiers in Applied Mathematics and Statistics', accepted.).
How to cite:
Frederic Bertrand (2021). bootPLS: Bootstrap Hyperparameter Selection for PLS Models and Extensions. R package version 1.1.0, https://cran.r-project.org/web/packages/bootPLS. Accessed 09 Mar. 2026.
Previous versions and publish date:
0.9.9 (2021-07-15 09:50), 1.0.1 (2024-09-24 13:10)
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Complete documentation for bootPLS
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