NPLS Regression with L1 Penalization
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Documentation for package ‘sNPLS’ version 1.0.27
Help Pages
| bread | Bread data |
| coef.sNPLS | Coefficients from a sNPLS model |
| cv_fit | Internal function for 'cv_snpls' |
| cv_snpls | Cross-validation for a sNPLS model |
| fitted.sNPLS | Fitted method for sNPLS models |
| plot.cvsNPLS | Plot cross validation results for sNPLS objects |
| plot.repeatcv | Density plot for repeat_cv results |
| plot.sNPLS | Plots for sNPLS model fits |
| plot_T | Internal function for 'plot.sNPLS' |
| plot_time | Internal function for 'plot.sNPLS' |
| plot_U | Internal function for 'plot.sNPLS' |
| plot_variables | Internal function for 'plot.sNPLS' |
| plot_Wj | Internal function for 'plot.sNPLS' |
| plot_Wk | Internal function for 'plot.sNPLS' |
| predict.sNPLS | Predict for sNPLS models |
| repeat_cv | Repeated cross-validation for sNPLS models |
| Rmatrix | R-matrix from a sNPLS model fit |
| sNPLS | Fit a sNPLS model |
| SR | Compute Selectivity Ratio for a sNPLS model |
| summary.sNPLS | Summary for sNPLS models |
| unfold3w | Unfolding of three-way arrays |