An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
mvdnorm()function which should be more stable in the case of near singularity of covariance matrix.
msir.components(), now it preserves the order of slices.
'msir'object returns the normalized basis vectors in component
$basisand raw eigenvectors in component