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

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Documentation for package `pls' version 1.0-3

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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
crossval Cross-validation of PLSR and PCR models
cvsegments Generate segments for cross-validation
kernelpls.fit Kernel PLS (Dayal and MacGregor)
loading.weights Extract Scores and Loadings from PLSR and PCR Models
loadingplot Plots of Scores and Loadings
makepredictcall.msc Multiplicative Scatter Correction
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 Components Regression
mvrCv Cross-validation
NIR Multivariate Dataset of NIR Spectra
oscorespls.fit Orthogonal scores PLSR
pcr Partial Least Squares and Principal Components Regression
plot.loadings Plots of Scores and Loadings
plot.mvr Plot Method for MVR objects
plot.mvrVal Validation Plots
plot.scores Plots of Scores and Loadings
plsr Partial Least Squares and Principal Components Regression
predict.msc Multiplicative Scatter Correction
predict.mvr Predict Method for PLSR and PCR
predplot Prediction Plots
predplotXy Prediction Plots
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
RMSEP MSEP, RMSEP and R2 of PLSR and PCR models
scoreplot Plots of Scores and Loadings
scores Extract Scores and Loadings from PLSR and PCR Models
sensory Multivariate Dataset of Sensory Data
simpls.fit Sijmen de Jong's SIMPLS
summary.mvr Summary and Print Methods for PLSR and PCR objects
svdpc.fit Principal Components Regression
validationplot Validation Plots
Yloadings Extract Scores and Loadings from PLSR and PCR Models
Yscores Extract Scores and Loadings from PLSR and PCR Models