Fitting OHPL Models

Functions for fitting OHPL models.

OHPL()

Ordered Homogeneity Pursuit Lasso

FOP()

Fisher Optimal Partition

proto()

Extract the Prototype from Each Variable Group

dlc()

Compute D, L, and C in Fisher Optimal Partitions Algorithm

OHPL-package

Ordered Homogeneity Pursuit Lasso for Group Variable Selection

Evaluation of OHPL Models

Functions for cross-validation, prediction, performance evaluation, and generation of simulated data.

cv.OHPL()

Cross-Validation 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)

Datasets

Real-world spectroscopic datasets used in the paper.

beer

The beer dataset

wheat

The wheat dataset

soil

The soil dataset