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ppls  

Penalized Partial Least Squares
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]
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 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 1.0 (2007-10-07 10:30), 1.01 (2008-04-15 12:53), 1.02 (2008-07-08 18:50), 1.03 (2009-01-24 11:12), 1.04 (2009-11-12 12:33), 1.05 (2012-10-29 08:59), 1.5.1 (2013-07-24 10:16), 1.6-0 (2013-08-20 16:39), 1.6-1.1 (2018-07-20 16:38), 1.6-1 (2014-09-04 11:56)
Other packages that cited ppls R package
View ppls citation profile
Other R packages that ppls depends, imports, suggests or enhances
Complete documentation for ppls
Functions, R codes and Examples using the ppls R package
Full ppls package functions and examples
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