Takes a set of observations and projects them into the SMVCIR discriminant space based on a previously built SMVCIR model object. Probabilities are calculated by measuring the mahalonobis distance of an observation from each of the class centroids based on the original SMVCIR model object.
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type |
Either "prob" for class probabilities, or "class" for class predictions. |
coordinates_only |
Default is FALSE. If TRUE, SMVCIR discriminant coordinates are returned and can be used towards other classification techniques, such as SVM's or logistic regression. |
maxdim |
Desired number of smvcir dimensions. A dimensionality test from previously built model may indicate a sufficient number of dimensions, by default, all possible dimensions are included. |
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