Penalized Partial Least Squares
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Documentation for package ‘ppls’ version 1.6-1.1
Help Pages
| ppls-package | ppls - Penalized Partial Least Squares |
| coef.mypls | Regression coefficients |
| cookie | Near-Infrared (NIR) Spectroscopy of Biscuit Doughs |
| graphic.ppls.splines | Plots for penalized PLS based on Spline Transformations |
| jack.ppls | Jackknife estimation for PPLS-coefficients |
| 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 |
| ttest.ppls | T-Test for regression coefficients |
| vcov.mypls | Variance-covariance matrix of the regression coefficients |
| X2s | Nolinear Transformation via B-splines |