The row profile can be defined as the set of rowwise rates, or in other words, the counts in a row divided by the total count for that row. If two rows have very similar row profiles, their points in the correspondence analysis plot are close together. Squared distances between row points are approximately proportional to Chi-square distances that test the homogeneity between the pair of rows.
 3D Correspondence Analysis Produces a 3-D scatterplot. Save Value Ordering Takes the order of the levels sorted by the first correspondence score coefficient and makes a column property for both the X and Y columns.
 Singular Value Inertia Lists the square of the singular values, reflecting the relative variation accounted for in the canonical dimensions. Portion Portion of inertia with respect to the total inertia. Cumulative Shows the cumulative portion of inertia. If the first two singular values capture the bulk of the inertia, then the 2-D correspondence analysis plot is sufficient to show the relationships in the table. X variable (Cheese) c1, c2, c3 Y variable (Response) c1, c2, c3
Related Information
 • Example of Correspondence Analysis