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 |
cppls.fit | CPPLS (Indahl et al.) |
crossval | Cross-validation of PLSR and PCR models |
cvsegments | Generate segments for cross-validation |
delete.intercept | Delete intercept from model matrix |
fac2seg | Factor to Segments |
gasoline | Octane numbers and NIR spectra of gasoline |
jack.test | Jackknife approximate t tests of regression coefficients |
kernelpls.fit | Kernel PLS (Dayal and MacGregor) |
mayonnaise | NIR measurements and oil types of mayonnaise |
msc | Multiplicative Scatter Correction |
mvr | Partial Least Squares and Principal Component Regression |
mvrCv | Cross-validation |
mvrVal | MSEP, RMSEP and R2 of PLSR and PCR models |
naExcludeMvr | Adjust for Missing Values |
oliveoil | Sensory and physico-chemical data of olive oils |
oscorespls.fit | Orthogonal scores PLSR |
plot.mvr | Plot Method for MVR objects |
pls | Partial Least Squares and Principal Component Regression |
pls.options | Set or return options for the pls package |
predict.mvr | Predict Method for PLSR and PCR |
predplot | Prediction Plots |
scoreplot | Plots of Scores, Loadings and Correlation Loadings |
scores | Extract Scores and Loadings from PLSR and PCR Models |
selectNcomp | Suggestions for the optimal number of components in PCR and... |
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... |
widekernelpls.fit | Wide Kernel PLS (Rännar et al.) |
yarn | NIR spectra and density measurements of PET yarns |
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