pls (2.6-0)

5 users

Partial Least Squares and Principal Component Regression.

http://mevik.net/work/software/pls.html
http://cran.r-project.org/web/packages/pls

Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).

Maintainer: Bjrn-Helge Mevik
Author(s): Bjrn-Helge Mevik, Ron Wehrens and Kristian Hovde Liland

License: GPL-2

Uses: Rmpi, MASS
Reverse depends: abctools, aBioMarVsuit, autopls, BioMark, chemometrics, ChemometricsWithR, ChemoSpec, chillR, crmn, dbstats, digeR, dmm, EasyABC, fda.usc, LGEWIS, lspls, Metabonomic, mixlm, monomvn, muma, nfda, obliqueRF, plsVarSel, RcmdrPlugin.NMBU, refund, robCompositions, rrcovHD, RVtests, soil.spec, spls, svapls
Reverse suggests: agridat, baseline, caret, ChemoSpec, decisionSupport, EEM, fscaret, geiger, hyperSpec, LSAmitR, miceadds, mlr, Morpho, PLSbiplot1, plsRbeta, plsRcox, RStoolbox, soil.spec
Reverse enhances: plsRcox, plsRglm

Released 8 months ago.


5 previous versions

Ratings

Overall:

  3.3/5 (3 votes)

Documentation:

  3.3/5 (3 votes)

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Related packages: fastICA, homals, pcaPP, psy, PTAk, AnalyzeFMRI, clustvarsel, elasticnet, kohonen, nlme, ppls, varSelRF, bayesm, caret, ade4, ca, cocorresp, e1071, eRm, FactoMineR(20 best matches, based on common tags.)


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Visit pls on R Graphical Manual.