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Linear Discriminant Analysis Options

Use this to select the output to be generated by a linear discriminant analysis.


Specifies which items of output are to be displayed in the Output window.

Counts of units in each group Numbers of units in each group with a complete set of observations
Latent roots The canonical variate loadings, the latent roots and the trace
Chi-square tests Chi-square tests for significance of roots
Correlations between input variables The within-group correlation matrix of the input variates
Correlations between input and canonical variates The within-group correlations between the input and canonical variates
Canonical variate means Canonical variate scores for the group means
Canonical correlation coefficients Canonical correlation coefficients
Adjustments The adjustments required to the canonical variate scores to centre the results about the origin
Distance between group means The inter-group distances
Unit scores Canonical variate scores for the units
Unit to group mean distances Mahalanobis squared distances between the units and the group means
Group allocations The initial grouping and the allocation of units to groups
Counts of allocations Counts of allocations

Number of dimensions

Specifies how many latent roots and vectors are printed (and saved); the residuals are formed from the remaining dimensions.

Reallocate units in training set to groups

Controls whether the units in the training set are to be reallocated to groups. If this is not selected then their group values, either displayed or saved, will be missing.


Specifies which graphical outputs are to be produced by the analysis.

Discrimination plot Draws a discrimination plot given by the X Root and Y Root boxes. The maximum dimension that can be displayed is that given above. You can specify to display the means, mean labels, unit scores, group polygons enclosing units and 95% confidence circles around the group means. A 1 dimensional plot can be produced by specifying the X root and setting the Y root to

See also

Updated on April 25, 2019

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