pls

Biplots of PLSR and PCR Models.

Extract Information From a Fitted PLSR or PCR Model

Plot Regression Coefficients of PLSR and PCR models

CPPLS (Indahl et al.)

Cross-validation of PLSR and PCR models

Generate segments for cross-validation

Delete intercept from model matrix

Octane numbers and NIR spectra of gasoline

Jackknife approximate t tests of regression coefficients

Kernel PLS (Dayal and MacGregor)

NIR measurements and oil types of mayonnaise

Multiplicative Scatter Correction

Partial Least Squares and Principal Component Regression

Cross-validation

MSEP, RMSEP and R2 of PLSR and PCR models

Adjust for Missing Values

Sensory and physico-chemical data of olive oils

Orthogonal scores PLSR

Plot Method for MVR objects

Set or return options for the pls package

Predict Method for PLSR and PCR

Prediction Plots

Plots of Scores, Loadings and Correlation Loadings

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

Summary and Print Methods for PLSR and PCR objects

Principal Component Regression

Validation Plots

Jackknife Variance Estimates of Regression Coefficients

Wide Kernel PLS (Rännar et al.)

NIR spectra and density measurements of PET yarns