Partial Least Squares Regression (PLSR) and Principal Component Regression (PCR)

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Documentation for package ‘pls’ version 2.1-0

Help Pages

biplot.mvr Biplots of PLSR and PCR Models.
coef.mvr Extract Information From a Fitted PLSR or PCR Model
coefplot Plot Regression Coefficients of PLSR and PCR models
compnames Extract Information From a Fitted PLSR or PCR Model
corrplot Plots of Scores, Loadings and Correlation Loadings
crossval Cross-validation of PLSR and PCR models
cvsegments Generate segments for cross-validation
explvar Extract Information From a Fitted PLSR or PCR Model
fitted.mvr Extract Information From a Fitted PLSR or PCR Model
gasoline Octane numbers and NIR spectra of gasoline
jack.test Jackknife approximate t tests of regression coefficients
kernelpls.fit Kernel PLS (Dayal and MacGregor)
loading.weights Extract Scores and Loadings from PLSR and PCR Models
loadingplot Plots of Scores, Loadings and Correlation Loadings
loadings Extract Scores and Loadings from PLSR and PCR Models
makepredictcall.msc Multiplicative Scatter Correction
makepredictcall.stdized Standardization of Data Matrices
model.frame.mvr Extract Information From a Fitted PLSR or PCR Model
model.matrix.mvr Extract Information From a Fitted PLSR or PCR Model
msc Multiplicative Scatter Correction
MSEP MSEP, RMSEP and R2 of PLSR and PCR models
mvr Partial Least Squares and Principal Component Regression
mvrCv Cross-validation
mvrValstats MSEP, RMSEP and R2 of PLSR and PCR models
oliveoil Sensory and physico-chemical data of olive oils
oscorespls.fit Orthogonal scores PLSR
pcr Partial Least Squares and Principal Component Regression
plot.loadings Plots of Scores, Loadings and Correlation Loadings
plot.mvr Plot Method for MVR objects
plot.mvrVal Validation Plots
plot.scores Plots of Scores, Loadings and Correlation Loadings
pls.options Set or return options for the pls package
plsr Partial Least Squares and Principal Component Regression
predict.msc Multiplicative Scatter Correction
predict.mvr Predict Method for PLSR and PCR
predict.stdized Standardization of Data Matrices
prednames Extract Information From a Fitted PLSR or PCR Model
predplot Prediction Plots
predplotXy Prediction Plots
print.jacktest Jackknife approximate t tests of regression coefficients
print.mvr Summary and Print Methods for PLSR and PCR objects
print.mvrVal Summary and Print Methods for PLSR and PCR objects
R2 MSEP, RMSEP and R2 of PLSR and PCR models
residuals.mvr Extract Information From a Fitted PLSR or PCR Model
respnames Extract Information From a Fitted PLSR or PCR Model
RMSEP MSEP, RMSEP and R2 of PLSR and PCR models
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
stdize Standardization of Data Matrices
summary.mvr Summary and Print Methods for PLSR and PCR objects
svdpc.fit Principal Component Regression
validationplot Validation Plots
var.jack Jackknife Variance Estimates of Regression Coefficients
widekernelpls.fit Wide Kernel PLS (Rännar et al.)
yarn NIR spectra and density measurements of PET yarns
Yloadings Extract Scores and Loadings from PLSR and PCR Models
Yscores Extract Scores and Loadings from PLSR and PCR Models