| OHPL-package | Ordered Homogeneity Pursuit Lasso for Group Variable Selection |
| 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 |