ppls: Penalized Partial Least Squares

Contains 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.

Package details

AuthorNicole Kraemer <kraemer_r_packages@yahoo.de> Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
MaintainerORPHANED
LicenseGPL (>= 2)
Version1.6-1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ppls")

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ppls documentation built on May 1, 2019, 10:53 p.m.