ppls-package | ppls - Penalized Partial Least Squares |
cookie | Near-Infrared (NIR) Spectroscopy of Biscuit Doughs |
new.penalized.pls | Prediction for Penalized Partial Least Squares |
normalize.vector | Normalization of a vector |
penalized.pls | Penalized Partial Least Squares |
penalized.pls.cv | Cross-validation for Penalized PLS |
penalized.pls.default | Penalized PLS based on NIPALS Algorithm |
penalized.pls.kernel | Kernel Penalized PLS |
penalized.pls.select | Penalized PLS based on NIPALS Algorithm and blockswise variable selection |
Penalty.matrix | Penalty matrix for higher order differences |
ppls | ppls - Penalized Partial Least Squares |
ppls.splines.cv | Cross-validation for penalized PLS based on Spline Transformations |
sim.data.ppls | Simulated Data |
X2s | Nolinear Transformation via B-splines |