Function reference

OHPL()
 Ordered Homogeneity Pursuit Lasso

FOP()
 Fisher Optimal Partition

proto()
 Extract the Prototype from Each Variable Group

dlc()
 Compute D, L, and C in the Fisher Optimal Partitions Algorithm

OHPLpackage
 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Evaluate OHPL models
Functions for crossvalidation, prediction, performance evaluation, and generation of simulated data.

cv.OHPL()
 CrossValidation for Ordered Homogeneity Pursuit Lasso

predict(<OHPL>)
 Make Predictions Based on the Fitted OHPL Model

OHPL.RMSEP()
 Compute RMSEP, MAE, and Q2 for a Test Set

OHPL.sim()
 Generate Simulation Data for Benchmarking Sparse Regressions (Gaussian Response)