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pls (version 2.8-5)

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

32,327

Version

2.8-5

License

GPL-2

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Last Published

September 15th, 2024

Functions in pls (2.8-5)

fac2seg

Factor to Segments
crossval

Cross-validation of PLSR and PCR models
msc

Multiplicative Scatter Correction
kernelpls.fit

Kernel PLS (Dayal and MacGregor)
oscorespls.fit

Orthogonal scores PLSR
plot.mvr

Plot Method for MVR objects
mvrCv

Cross-validation
coef.mvr

Extract Information From a Fitted PLSR or PCR Model
mayonnaise

NIR measurements and oil types of mayonnaise
cvsegments

Generate segments for cross-validation
naExcludeMvr

Adjust for Missing Values
selectNcomp

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

Sensory and physico-chemical data of olive oils
mvr

Partial Least Squares and Principal Component Regression
scoreplot

Plots of Scores, Loadings and Correlation Loadings
predict.mvr

Predict Method for PLSR and PCR
scores

Extract Scores and Loadings from PLSR and PCR Models
stdize

Standardization of Data Matrices
predplot

Prediction Plots
simpls.fit

Sijmen de Jong's SIMPLS
mvrVal

MSEP, RMSEP and R2 of PLSR and PCR models
pls

Partial Least Squares and Principal Component Regression
pls.options

Set or return options for the pls package
svdpc.fit

Principal Component Regression
var.jack

Jackknife Variance Estimates of Regression Coefficients
print.mvr

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

Wide Kernel PLS (Rännar et al.)
vcov.mvr

Calculate Variance-Covariance Matrix for a Fitted Model Object
validationplot

Validation Plots
yarn

NIR spectra and density measurements of PET yarns
biplot.mvr

Biplots of PLSR and PCR Models.
gasoline

Octane numbers and NIR spectra of gasoline
delete.intercept

Delete intercept from model matrix
cppls.fit

CPPLS (Indahl et al.)
coefplot

Plot Regression Coefficients of PLSR and PCR models
jack.test

Jackknife approximate t tests of regression coefficients