# Partial Least Squares and Principal Component Regression

## Documentation for package ‘pls’ version 2.9-0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

as.data.frame.mvrVal | Summary and Print Methods for PLSR and PCR objects
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
cppls | Partial Least Squares and Principal Component Regression
cppls.fit | CPPLS (Indahl et al.)
crossval | Cross-validation of PLSR and PCR models
cvsegments | Generate segments for cross-validation
explvar | Extract Information From a Fitted PLSR or PCR Model
fac2seg | Factor to Segments
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
loadingplot.default | Plots of Scores, Loadings and Correlation Loadings
loadings | Extract Scores and Loadings from PLSR and PCR Models
loadings.default | Extract Scores and Loadings from PLSR and PCR Models
makepredictcall.msc | Multiplicative Scatter Correction
makepredictcall.stdized | Standardization of Data Matrices
mayonnaise | NIR measurements and oil types of mayonnaise
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
MSEP.mvr | MSEP, RMSEP and R2 of PLSR and PCR models
mvr | Partial Least Squares and Principal Component Regression
mvrCv | Cross-validation
mvrVal | MSEP, RMSEP and R2 of PLSR and PCR models
mvrValstats | MSEP, RMSEP and R2 of PLSR and PCR models
nipals | Partial Least Squares and Principal Component Regression
nipals.fit | NIPALS PLS with missing values
nipalspc.fit | NIPALS PCR with missing values
nipalspcr | Partial Least Squares and Principal Component Regression
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
predplot.default | Prediction Plots
predplot.mvr | 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
R2.mvr | 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
RMSEP.mvr | MSEP, RMSEP and R2 of PLSR and PCR models
scoreplot | Plots of Scores, Loadings and Correlation Loadings
scoreplot.default | Plots of Scores, Loadings and Correlation Loadings
scores | Extract Scores and Loadings from PLSR and PCR Models
scores.default | Extract Scores and Loadings from PLSR and PCR Models
selectNcomp | Suggestions for the optimal number of components in PCR and PLSR 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
vcov.mvr | Calculate Variance-Covariance Matrix for a Fitted Model Object
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