CorReg: Linear Regression Based on Linear Structure Between Covariates
Linear regression based on a recursive structural equation model (explicit multiples correlations) found by a MCMC algorithm. It permits to face highly correlated covariates. Variable selection is included (by lasso, elastic net, etc.). It also provides some graphical tools for basic statistics (Boxplot with confidence intervals, etc) and regression trees.