#' models with variable selection by an extension of the Lasso estimator (regularization parameter lambda).
#' Reparametrization is done to ensure invariance by homothetic transformation.
#' It returns a collection of models, varying the number of clusters and the sparsity in the regression mean.
#' models with variable selection by an extension of the Lasso estimator (regularization parameter lambda).
#' Reparametrization is done to ensure invariance by homothetic transformation.
#' It returns a collection of models, varying the number of clusters and the sparsity in the regression mean.