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

Author | Bjrn-Helge Mevik, Ron Wehrens and Kristian Hovde Liland |

Date of publication | 2016-12-18 17:46:39 |

Maintainer | Bjrn-Helge Mevik <pls@mevik.net> |

License | GPL-2 |

Version | 2.6-0 |

http://mevik.net/work/software/pls.html |

**biplot.mvr:** Biplots of PLSR and PCR Models.

**coef.mvr:** Extract Information From a Fitted PLSR or PCR Model

**coefplot:** Plot Regression Coefficients of PLSR and PCR models

**cppls.fit:** CPPLS (Indahl et al.)

**crossval:** Cross-validation of PLSR and PCR models

**cvsegments:** Generate segments for cross-validation

**delete.intercept:** Delete intercept from model matrix

**gasoline:** Octane numbers and NIR spectra of gasoline

**jack.test:** Jackknife approximate t tests of regression coefficients

**kernelpls.fit:** Kernel PLS (Dayal and MacGregor)

**mayonnaise:** NIR measurements and oil types of mayonnaise

**msc:** Multiplicative Scatter Correction

**mvr:** Partial Least Squares and Principal Component Regression

**mvrCv:** Cross-validation

**mvrVal:** MSEP, RMSEP and R2 of PLSR and PCR models

**naExcludeMvr:** Adjust for Missing Values

**oliveoil:** Sensory and physico-chemical data of olive oils

**oscorespls.fit:** Orthogonal scores PLSR

**plot.mvr:** Plot Method for MVR objects

**pls.options:** Set or return options for the pls package

**predict.mvr:** Predict Method for PLSR and PCR

**predplot:** Prediction Plots

**scoreplot:** Plots of Scores, Loadings and Correlation Loadings

**scores:** Extract Scores and Loadings from PLSR and PCR Models

**selectNcomp:** Suggestions for the optimal number of components in PCR and...

**simpls.fit:** Sijmen de Jong's SIMPLS

**stdize:** Standardization of Data Matrices

**summary.mvr:** Summary and Print Methods for PLSR and PCR objects

**svdpc.fit:** Principal Component Regression

**validationplot:** Validation Plots

**var.jack:** Jackknife Variance Estimates of Regression Coefficients

**widekernelpls.fit:** Wide Kernel PLS (RĂ¤nnar et al.)

**yarn:** NIR spectra and density measurements of PET yarns

pls

pls/inst

pls/inst/NEWS.Rd

pls/inst/doc

pls/inst/doc/pls-manual.pdf

pls/inst/doc/pls-manual.R

pls/inst/doc/pls-manual.Rnw

pls/NAMESPACE

pls/data

pls/data/gasoline.RData

pls/data/yarn.RData

pls/data/mayonnaise.RData

pls/data/oliveoil.RData

pls/R

pls/R/crossval.R
pls/R/widekernelpls_NA.fit.R
pls/R/pls.options.R
pls/R/svdpc.fit.R
pls/R/msc.R
pls/R/ncomp.R
pls/R/mvrVal.R
pls/R/summaries.R
pls/R/mvr.R
pls/R/cvsegments.R
pls/R/plots.R
pls/R/simpls.fit.R
pls/R/predict.mvr.R
pls/R/mvr_wrappers.R
pls/R/extract.R
pls/R/stdize.R
pls/R/kernelpls.fit.R
pls/R/widekernelpls.fit.R
pls/R/oscorespls.fit.R
pls/R/cppls.fit.R

pls/R/jackknife.R
pls/vignettes

pls/vignettes/pls-manual.Rnw

pls/vignettes/pls-manual.bib

pls/MD5

pls/build

pls/build/vignette.rds

pls/DESCRIPTION

pls/man

pls/man/cppls.fit.Rd
pls/man/gasoline.Rd
pls/man/delete.intercept.Rd
pls/man/coef.mvr.Rd
pls/man/predplot.Rd
pls/man/plot.mvr.Rd
pls/man/var.jack.Rd
pls/man/scores.Rd
pls/man/oliveoil.Rd
pls/man/svdpc.fit.Rd
pls/man/selectNcomp.Rd
pls/man/widekernelpls.fit.Rd
pls/man/kernelpls.fit.Rd
pls/man/cvsegments.Rd
pls/man/mayonnaise.Rd
pls/man/scoreplot.Rd
pls/man/summary.mvr.Rd
pls/man/validationplot.Rd
pls/man/mvrCv.Rd
pls/man/mvr.Rd
pls/man/stdize.Rd
pls/man/simpls.fit.Rd
pls/man/oscorespls.fit.Rd
pls/man/jack.test.Rd
pls/man/biplot.mvr.Rd
pls/man/msc.Rd
pls/man/naExcludeMvr.Rd
pls/man/pls.options.Rd
pls/man/mvrVal.Rd
pls/man/crossval.Rd
pls/man/predict.mvr.Rd
pls/man/coefplot.Rd
pls/man/yarn.Rd
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