#1.2.14 : print root MSE for regression trees and classical print for decision trees
#1.2.7 : Purge values to clean the dataset (including blank separators for thousands)
#1.2.0 : some CPP corrections to fit RcppEigen + add a first vignette
#1.1.6 : Kruskal-Wallis test to manage non-normal distributions in the BoxPlot function
#1.1.0 : improved imports for basic functions
#1.0.7 :
   remove ridge dependency by using MASS function lm.ridge
   Add a new BoxPlot function with confidence intervals and anova integrated
#1.0.5 enhanced documentation
#0.15.4
Changing random generator in C to use runif() instead.
#0.14.3
bug removal when X was a data.frame in density_estimatione