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 <[email protected]> Anne-Laure Boulesteix <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ppls documentation built on July 21, 2018, 5:02 p.m.