Linear regression based on a recursive structural equation model (explicit multiples correlations) found by a M.C.M.C.(Markov Chain Monte Carlo) algorithm. It permits to face highly correlated variables. Variable selection is included (by lasso, elastic net, etc.). It also provides some graphical tools for basic statistics.
Still searching for the best note taking solution. Oh well, markdown exists, git exists, throwing away sheets at the end of the semester is not "eco-friendly", let's share those notes on teacher's notes on github!
