Multivariate Analysis: Canonical Discriminant Analysis
You can use the Output Variables tab to add analysis variables to the data table. (See Figure 29.13.) If you request a plot that uses one of the output variables, then that variable is automatically created even if you did not explicitly select the variable on the Output Variables tab.
The following list describes each output variable added to the data table and indicates how the output variable is named. Y represents the name of the classification variable.
- Posterior probabilities of group membership
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adds variables namedCDAProb_X, where X is the name of an X variable. - Predicted groups
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adds a variable namedCDAPred_Y that contains the name of the group to which each observation is assigned. - Canonical scores
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adds variables namedCDA_1throughCDA_k, where k is the number of canonical components.
If a classification fit plot is requested on the Plots tab, then a variable named CDALogProb_Y is created, as described in the section The Plots Tab.
