fdaCMA-methods {CMA} | R Documentation |
Fisher's Linear Discriminant Analysis constructs a subspace of
'optimal projections' in which classification is performed.
The directions of optimal projections are computed by the
function cancor
from the package stats
. For
an exhaustive treatment, see e.g. Ripley (1996).
For references, further argument and output information, consult
fdaCMA
.