Support observation weights

[Tom Wenseleers]

I noticed that observation weights are not yet supported - are these not simple to incorporate by noticing that weighted least squares minimizes sum( w * (Y - X %% beta)^2 )
= sum_i( (sqrt(w[i]) * X[i, ] %% beta - sqrt(w[i]) * Y[i])^2 ), meaning that one could simulate observation weights simply by multiplying both the design matrix X and the dependent variance Y by sqrt(weights) ?

[Jared Huling]

I haven't had the time to do this but will eventually. There are some tricky issues due to how I scale/standardize the design matrix

[Sebastian von den Hoff]

I would like to know, if you plan to implement observation weights in the future, or if this isn`t planned anymore?

And, of course, thanks a lot for your package.