pls v2.6-0


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Partial Least Squares and Principal Component Regression

Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).

Functions in pls

Name Description
delete.intercept Delete intercept from model matrix Kernel PLS (Dayal and MacGregor)
coefplot Plot Regression Coefficients of PLSR and PCR models
crossval Cross-validation of PLSR and PCR models
cvsegments Generate segments for cross-validation
biplot.mvr Biplots of PLSR and PCR Models.
jack.test Jackknife approximate t tests of regression coefficients
gasoline Octane numbers and NIR spectra of gasoline
coef.mvr Extract Information From a Fitted PLSR or PCR Model CPPLS (Indahl et al.)
plot.mvr Plot Method for MVR objects
msc Multiplicative Scatter Correction
oliveoil Sensory and physico-chemical data of olive oils
mvrCv Cross-validation
mvr Partial Least Squares and Principal Component Regression
mayonnaise NIR measurements and oil types of mayonnaise Orthogonal scores PLSR
pls.options Set or return options for the pls package
naExcludeMvr Adjust for Missing Values
mvrVal MSEP, RMSEP and R2 of PLSR and PCR models
stdize Standardization of Data Matrices
scoreplot Plots of Scores, Loadings and Correlation Loadings Principal Component Regression Sijmen de Jong's SIMPLS
predplot Prediction Plots
validationplot Validation Plots
scores Extract Scores and Loadings from PLSR and PCR Models
predict.mvr Predict Method for PLSR and PCR
selectNcomp Suggestions for the optimal number of components in PCR and PLSR models
summary.mvr Summary and Print Methods for PLSR and PCR objects
yarn NIR spectra and density measurements of PET yarns Wide Kernel PLS (Rännar et al.)
var.jack Jackknife Variance Estimates of Regression Coefficients
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Last month downloads


Date 2016-12-18
Encoding latin1
LazyLoad yes
LazyData yes
ZipData yes
License GPL-2
NeedsCompilation no
Packaged 2016-12-18 16:28:35 UTC; bhm
Repository CRAN
Date/Publication 2016-12-18 17:46:39

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