# Categorical Principal Components Analysis Output

The Output dialog box controls the display of results.

Object scores. Displays the object scores and has the following options:

- Include Categories Of. Displays the category indicators of the analysis variables selected.
- Label Object Scores By. From the list of variables that are specified as labeling variables, you can select one to label the objects.

Component loadings. Displays the component loadings for all variables that were not given multiple nominal scaling levels. You can sort the component loadings by size.

Iteration history. For each iteration, the variance accounted for, loss, and increase in variance accounted for are shown.

Correlations of original variables. Shows the correlation matrix of the original variables and the eigenvalues of that matrix.

Correlations of transformed variables. Shows the correlation matrix of the transformed (optimally scaled) variables and the eigenvalues of that matrix.

Variance accounted for. Displays the amount of variance accounted for by centroid coordinates, vector coordinates, and total (centroid and vector coordinates combined) per variable and per dimension.

Category Quantifications. Gives the category quantifications and coordinates for each dimension of the variables that are selected.

Descriptive Statistics. Displays frequencies, number of missing values, and mode of the variables that are selected.

To Specify CATPCA Output

This feature requires the Categories option.

- From the menus, choose:
- In the Categorical Principal Components dialog box, click Output.