R: The LIC Criterion for Optimal Subset Selection

# The LIC Criterion for Optimal Subset Selection

## Documentation for package ‘LIC’ version 0.0.2

- DESCRIPTION file.

## Help Pages

airfoil | Airfoil self-noise
estate | Real estate valuation
gt2015 | Gas turbine NOx emission
LIC | The LIC criterion is to determine the most informative subsets so that the subset can retain most of the information contained in the complete data.
Opt1 | The Opt1 chooses the optimal index subset based on minimized interval length.
Opt2 | The Opt2 chooses the optimal index subset based on maximized information sub-matrix.
OSA | The OSA gives a simple average estimatoris by averaging all these least squares estimators.
OSM | The OSM is a median processing method for the central processor.