Use the SSCP matrix to assess the partitioning of variability in the same way you would look at univariate sums of squares. The matrix labeled as SSCP Matrix for model term is the hypothesis sums of squares and cross-products matrix, or H, for the responses with the specified model term. The diagonal elements are the univariate ANOVA sums of squares for the model term for each response. The off-diagonal elements of this matrix are the cross products.

For the door lock data, 1.499 and 7.057 are the univariate sums of squares for usability and quality for plants.