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pls (version 2.7-1)

Partial Least Squares and Principal Component Regression

Description

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

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Version

Install

install.packages('pls')

Monthly Downloads

26,410

Version

2.7-1

License

GPL-2

Issues

2

Pull Requests

0

Stars

39

Forks

4

Maintainer

Bj<c3><b8>rn-Helge Mevik

Last Published

March 23rd, 2019

Functions in pls (2.7-1)

mvrVal

MSEP, RMSEP and R2 of PLSR and PCR models
plot.mvr

Plot Method for MVR objects
mvrCv

Cross-validation
simpls.fit

Sijmen de Jong's SIMPLS
selectNcomp

Suggestions for the optimal number of components in PCR and PLSR models
svdpc.fit

Principal Component Regression
validationplot

Validation Plots
naExcludeMvr

Adjust for Missing Values
mvr

Partial Least Squares and Principal Component Regression
cppls.fit

CPPLS (Indahl et al.)
var.jack

Jackknife Variance Estimates of Regression Coefficients
mayonnaise

NIR measurements and oil types of mayonnaise
msc

Multiplicative Scatter Correction
widekernelpls.fit

Wide Kernel PLS (R<U+00E4>nnar et al.)
oscorespls.fit

Orthogonal scores PLSR
stdize

Standardization of Data Matrices
oliveoil

Sensory and physico-chemical data of olive oils
summary.mvr

Summary and Print Methods for PLSR and PCR objects
pls.options

Set or return options for the pls package
scoreplot

Plots of Scores, Loadings and Correlation Loadings
predict.mvr

Predict Method for PLSR and PCR
predplot

Prediction Plots
yarn

NIR spectra and density measurements of PET yarns
scores

Extract Scores and Loadings from PLSR and PCR Models
delete.intercept

Delete intercept from model matrix
coefplot

Plot Regression Coefficients of PLSR and PCR models
gasoline

Octane numbers and NIR spectra of gasoline
coef.mvr

Extract Information From a Fitted PLSR or PCR Model
biplot.mvr

Biplots of PLSR and PCR Models.
cvsegments

Generate segments for cross-validation
crossval

Cross-validation of PLSR and PCR models
kernelpls.fit

Kernel PLS (Dayal and MacGregor)
jack.test

Jackknife approximate t tests of regression coefficients