Exact Variable-Subset Selection in Linear Regression
Description
Exact and approximation algorithms for variable-subset
selection in ordinary linear regression models. Either compute all
submodels with the lowest residual sum of squares, or determine the
single-best submodel according to a pre-determined statistical
criterion. Hofmann, Gatu, Kontoghiorghes, Colubi, Zeileis (2018,
submitted).