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pls (version 2.9-0)
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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2.9-0
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Install
install.packages('pls')
Monthly Downloads
26,410
Version
2.9-0
License
GPL-2
Issues
2
Pull Requests
0
Stars
39
Forks
4
Repository
https://github.com/khliland/pls
Homepage
https://khliland.github.io/pls/
Maintainer
Kristian Hovde Liland
Last Published
February 21st, 2026
Functions in pls (2.9-0)
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nipals.fit
NIPALS PLS with missing values
mvrCv
Cross-validation
nipalspc.fit
NIPALS PCR with missing values
mayonnaise
NIR measurements and oil types of mayonnaise
naExcludeMvr
Adjust for Missing Values
kernelpls.fit
Kernel PLS (Dayal and MacGregor)
oliveoil
Sensory and physico-chemical data of olive oils
mvr
Partial Least Squares and Principal Component Regression
mvrVal
MSEP, RMSEP and R2 of PLSR and PCR models
msc
Multiplicative Scatter Correction
pls.options
Set or return options for the pls package
oscorespls.fit
Orthogonal scores PLSR
selectNcomp
Suggestions for the optimal number of components in PCR and PLSR models
predplot
Prediction Plots
pls
Partial Least Squares and Principal Component Regression
predict.mvr
Predict Method for PLSR and PCR
plot.mvr
Plot Method for MVR objects
scoreplot
Plots of Scores, Loadings and Correlation Loadings
scores
Extract Scores and Loadings from PLSR and PCR Models
simpls.fit
Sijmen de Jong's SIMPLS
widekernelpls.fit
Wide Kernel PLS (Rännar et al.)
yarn
NIR spectra and density measurements of PET yarns
vcov.mvr
Calculate Variance-Covariance Matrix for a Fitted Model Object
svdpc.fit
Principal Component Regression
stdize
Standardization of Data Matrices
var.jack
Jackknife Variance Estimates of Regression Coefficients
validationplot
Validation Plots
print.mvr
Summary and Print Methods for PLSR and PCR objects
gasoline
Octane numbers and NIR spectra of gasoline
fac2seg
Factor to Segments
delete.intercept
Delete intercept from model matrix
coef.mvr
Extract Information From a Fitted PLSR or PCR Model
cvsegments
Generate segments for cross-validation
crossval
Cross-validation of PLSR and PCR models
biplot.mvr
Biplots of PLSR and PCR Models.
cppls.fit
CPPLS (Indahl et al.)
coefplot
Plot Regression Coefficients of PLSR and PCR models
jack.test
Jackknife approximate t tests of regression coefficients