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pls (version 2.7-2)

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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Install

install.packages('pls')

Monthly Downloads

33,140

Version

2.7-2

License

GPL-2

Issues

2

Pull Requests

0

Stars

38

Forks

3

Maintainer

Bj<c3><b8>rn-Helge Mevik

Last Published

October 1st, 2019

Functions in pls (2.7-2)

gasoline

Octane numbers and NIR spectra of gasoline
biplot.mvr

Biplots of PLSR and PCR Models.
delete.intercept

Delete intercept from model matrix
cvsegments

Generate segments for cross-validation
jack.test

Jackknife approximate t tests of regression coefficients
kernelpls.fit

Kernel PLS (Dayal and MacGregor)
crossval

Cross-validation of PLSR and PCR models
coefplot

Plot Regression Coefficients of PLSR and PCR models
coef.mvr

Extract Information From a Fitted PLSR or PCR Model
cppls.fit

CPPLS (Indahl et al.)
plot.mvr

Plot Method for MVR objects
mvrCv

Cross-validation
mvr

Partial Least Squares and Principal Component Regression
oliveoil

Sensory and physico-chemical data of olive oils
naExcludeMvr

Adjust for Missing Values
mvrVal

MSEP, RMSEP and R2 of PLSR and PCR models
validationplot

Validation Plots
widekernelpls.fit

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

Jackknife Variance Estimates of Regression Coefficients
svdpc.fit

Principal Component Regression
oscorespls.fit

Orthogonal scores PLSR
mayonnaise

NIR measurements and oil types of mayonnaise
stdize

Standardization of Data Matrices
msc

Multiplicative Scatter Correction
simpls.fit

Sijmen de Jong's SIMPLS
scores

Extract Scores and Loadings from PLSR and PCR Models
selectNcomp

Suggestions for the optimal number of components in PCR and PLSR models
scoreplot

Plots of Scores, Loadings and Correlation Loadings
summary.mvr

Summary and Print Methods for PLSR and PCR objects
yarn

NIR spectra and density measurements of PET yarns
pls.options

Set or return options for the pls package
predict.mvr

Predict Method for PLSR and PCR
predplot

Prediction Plots