| 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 |