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>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ppls documentation built on May 1, 2019, 10:53 p.m.