Kernel PLS (Dayal and MacGregor)
Octane numbers and NIR spectra of gasoline
Generate segments for cross-validation
Biplots of PLSR and PCR Models.
Plot Regression Coefficients of PLSR and PCR models
CPPLS (Indahl et al.)
Cross-validation of PLSR and PCR models
Jackknife approximate t tests of regression coefficients
Delete intercept from model matrix
Extract Information From a Fitted PLSR or PCR Model
Partial Least Squares and Principal Component Regression
NIR measurements and oil types of mayonnaise
Sensory and physico-chemical data of olive oils
Multiplicative Scatter Correction
Partial Least Squares and Principal Component Regression
Orthogonal scores PLSR
Adjust for Missing Values
Plot Method for MVR objects
MSEP, RMSEP and R2 of PLSR and PCR models
Cross-validation
Prediction Plots
Extract Scores and Loadings from PLSR and PCR Models
Suggestions for the optimal number of components in PCR and PLSR models
Sijmen de Jong's SIMPLS
Standardization of Data Matrices
Plots of Scores, Loadings and Correlation Loadings
Summary and Print Methods for PLSR and PCR objects
Principal Component Regression
Predict Method for PLSR and PCR
Set or return options for the pls package
Calculate Variance-Covariance Matrix for a Fitted Model Object
NIR spectra and density measurements of PET yarns
Wide Kernel PLS (Rännar et al.)
Validation Plots
Jackknife Variance Estimates of Regression Coefficients