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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ppls")

1.6-1.1 by ORPHANED, 7 months ago


Browse source code at https://github.com/cran/ppls


Authors: Nicole Kraemer <[email protected]> Anne-Laure Boulesteix <[email protected]de>


Documentation:   PDF Manual  


Task views: Chemometrics and Computational Physics, Multivariate Statistics


GPL (>= 2) license


Depends on splines, MASS


Imported by clustRcompaR.

Depended on by SODC, parcor.

Suggested by groc.


See at CRAN