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In JMP, you specify the measurement variables as Y effects and the classification variable as a single X effect. The multivariate fitting platform gives estimates of the means and the covariance matrix for the data, assuming that the covariances are the same for each group. You obtain discriminant information with the Save Discrim option in the pop-up menu next to the MANOVA platform name. This command saves distances and probabilities as columns in the current data table using the initial E and H matrices.
For a classification variable with k levels, JMP adds k distance columns, k classification probability columns, the predicted classification column, and two columns of other computational information to the current data table.

Help created on 3/19/2020