| beer | The beer dataset |
| cv.OHPL | Cross-validation for Ordered Homogeneity Pursuit Lasso |
| dlc | Compute D, L, and C in the Fisher optimal partitions algorithm |
| FOP | Fisher optimal partition |
| OHPL | Ordered Homogeneity Pursuit Lasso |
| OHPL.RMSEP | Compute RMSEP, MAE, and Q2 for a test set |
| OHPL.sim | Generate simulation data for benchmarking sparse regressions (Gaussian response) |
| predict.OHPL | Make predictions based on the fitted OHPL model |
| proto | Extract the prototype from each variable group |
| soil | The soil dataset |
| wheat | The wheat dataset |