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hddplot (version 0.56)
Use known groups in high-dimensional data to derive scores for
plots
Description
Cross-validated linear discriminant calculations determine
the optimum number of features. Test and training scores from
successive cross-validation steps determine, via a principal
components calculation, a low-dimensional global space onto which test
scores are projected, in order to plot them. Further functions are
included that serve didactic purposes.