Sélection des variables dans un modèle structurel de régression linéaire

Abstract

Using a criterion for invariance of canonical analysis, we propose a new method for variable selection for linear regression models with random covariates. The convergence of this method is established. A consistent test for the validity of a selected submodel is then proposed.