ppls: Penalized Partial Least Squares

This package 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.

Version: 1.6-0
Depends: splines, MASS
Published: 2013-08-20
Author: Nicole Kraemer Anne-Laure Boulesteix
Maintainer: Nicole Kraemer <nicole.kraemer at tum.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: ChemPhys, Multivariate
CRAN checks: ppls results


Reference manual: ppls.pdf
Package source: ppls_1.6-0.tar.gz
Windows binaries: r-devel: ppls_1.6-0.zip, r-release: ppls_1.6-0.zip, r-oldrel: ppls_1.6-0.zip
OS X Snow Leopard binaries: r-release: ppls_1.6-0.tgz, r-oldrel: ppls_1.6-0.tgz
OS X Mavericks binaries: r-release: ppls_1.6-0.tgz
Old sources: ppls archive

Reverse dependencies:

Reverse depends: parcor, SODC
Reverse suggests: groc