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ppls
View on CRAN: Click
here
Download and install ppls package within the R console
Install from CRAN:
install.packages("ppls")
Install from Github:
library("remotes")
install_github("cran/ppls") Install by package version:
library("remotes")
install_version("ppls", "2.0.0") Attach the package and use:
library("ppls")
Maintained by
Vincent Guillemot
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-10-07
Latest Update: 2025-07-22
Description:
Linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques. Model parameters are selected via cross-validation, and confidence intervals ans tests for the regression coefficients can be conducted via jackknifing. The method is described and applied to simulated and experimental data in Kraemer et al. (2008) <doi:10.1016/j.chemolab.2008.06.009>.
How to cite:
Vincent Guillemot (2007). ppls: Penalized Partial Least Squares. R package version 2.0.0, https://cran.r-project.org/web/packages/ppls. Accessed 04 Jul. 2026.
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