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.
|Date of publication||2016-11-03 23:09:33|
|Maintainer||John Maindonald <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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