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pls (version 2.8-4)

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

26,057

Version

2.8-4

License

GPL-2

Issues

2

Pull Requests

0

Stars

36

Forks

3

Maintainer

Kristian Hovde Liland

Last Published

August 1st, 2024

Functions in pls (2.8-4)

crossval

Cross-validation of PLSR and PCR models
delete.intercept

Delete intercept from model matrix
cvsegments

Generate segments for cross-validation
cppls.fit

CPPLS (Indahl et al.)
biplot.mvr

Biplots of PLSR and PCR Models.
mvrCv

Cross-validation
mvrVal

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

Extract Information From a Fitted PLSR or PCR Model
stdize

Standardization of Data Matrices
fac2seg

Factor to Segments
print.mvr

Summary and Print Methods for PLSR and PCR objects
msc

Multiplicative Scatter Correction
scoreplot

Plots of Scores, Loadings and Correlation Loadings
scores

Extract Scores and Loadings from PLSR and PCR Models
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
oliveoil

Sensory and physico-chemical data of olive oils
pls

Partial Least Squares and Principal Component Regression
kernelpls.fit

Kernel PLS (Dayal and MacGregor)
pls.options

Set or return options for the pls package
svdpc.fit

Principal Component Regression
validationplot

Validation Plots
widekernelpls.fit

Wide Kernel PLS (Rännar et al.)
simpls.fit

Sijmen de Jong's SIMPLS
selectNcomp

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

NIR spectra and density measurements of PET yarns
mayonnaise

NIR measurements and oil types of mayonnaise
var.jack

Jackknife Variance Estimates of Regression Coefficients
predict.mvr

Predict Method for PLSR and PCR
vcov.mvr

Calculate Variance-Covariance Matrix for a Fitted Model Object
predplot

Prediction Plots
gasoline

Octane numbers and NIR spectra of gasoline
coefplot

Plot Regression Coefficients of PLSR and PCR models
jack.test

Jackknife approximate t tests of regression coefficients