formula: formula of the form groups ~ x1 + x2 + .... That is, the response is the grouping factor and the right hand side specifies the (non-factor) discriminators.
data: Data frame from which variables specified in formula are preferentially to be taken.
method: character, name of classification function (e.g. ‘lda’ ).
col.correct: color to use for correct classified objects.
col.wrong: color to use for missclassified objects.
gs: group symbol (plot character), must have the same length as the data. If NULL, as.character(groups) is the default.
...: further arguments passed to the underlying classification method or plot functions.