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pls (version 2.8-2)

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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Version

Install

install.packages('pls')

Monthly Downloads

33,140

Version

2.8-2

License

GPL-2

Issues

2

Pull Requests

0

Stars

38

Forks

3

Maintainer

Kristian Hovde Liland

Last Published

May 19th, 2023

Functions in pls (2.8-2)

kernelpls.fit

Kernel PLS (Dayal and MacGregor)
gasoline

Octane numbers and NIR spectra of gasoline
cvsegments

Generate segments for cross-validation
biplot.mvr

Biplots of PLSR and PCR Models.
coefplot

Plot Regression Coefficients of PLSR and PCR models
cppls.fit

CPPLS (Indahl et al.)
crossval

Cross-validation of PLSR and PCR models
jack.test

Jackknife approximate t tests of regression coefficients
delete.intercept

Delete intercept from model matrix
coef.mvr

Extract Information From a Fitted PLSR or PCR Model
pls

Partial Least Squares and Principal Component Regression
mayonnaise

NIR measurements and oil types of mayonnaise
oliveoil

Sensory and physico-chemical data of olive oils
msc

Multiplicative Scatter Correction
mvr

Partial Least Squares and Principal Component Regression
oscorespls.fit

Orthogonal scores PLSR
naExcludeMvr

Adjust for Missing Values
plot.mvr

Plot Method for MVR objects
mvrVal

MSEP, RMSEP and R2 of PLSR and PCR models
mvrCv

Cross-validation
predplot

Prediction Plots
scores

Extract Scores and Loadings from PLSR and PCR Models
selectNcomp

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

Sijmen de Jong's SIMPLS
stdize

Standardization of Data Matrices
scoreplot

Plots of Scores, Loadings and Correlation Loadings
print.mvr

Summary and Print Methods for PLSR and PCR objects
svdpc.fit

Principal Component Regression
predict.mvr

Predict Method for PLSR and PCR
pls.options

Set or return options for the pls package
vcov.mvr

Calculate Variance-Covariance Matrix for a Fitted Model Object
yarn

NIR spectra and density measurements of PET yarns
widekernelpls.fit

Wide Kernel PLS (Rännar et al.)
validationplot

Validation Plots
var.jack

Jackknife Variance Estimates of Regression Coefficients