[Gretl-users] Principal component analysis: Missing values encountered

Dear all, few days ago I've updated my gretl installation from 1.9.91 to 2016b and re-run one of my examples that I use in class and I've found that the principal components analysis behaves quite different now (perhaps a bug): After performing pca on the same dataset as before, gretl returns "Missing values encountered", both via GUI and via console and PC's are not calculated. However, in 1.9.91 everything worked and PC's were calculated if some observations had missing values at some of the variables. Is this a bug or an intention? Is there any easy command how to skip observations with missing values? Thanks for help, Jaromir Baxa Charles University in Prague