In the following, E is the residual cross product matrix and H is the model cross product matrix. Diagonal elements of E are the residual sums of squares for each variable. Diagonal elements of H are the sums of squares for the model for each variable. In the discriminant analysis literature, E is often called W, where W stands for within.
Test statistics in the multivariate results tables are functions of the eigenvalues λ of 
. The following list describes the computation of each test statistic.
. The following list describes the computation of each test statistic.
Note: After specification of a response design, the initial E and H matrices are premultiplied by 
and postmultiplied by M.
and postmultiplied by M.
, the maximum eigenvalue of 
.E and H are defined as follows:
where b is the estimated vector for the model coefficients and A- denotes the generalized inverse of a matrix A.
The whole model L is a column of zeros (for the intercept) concatenated with an identity matrix having the number of rows and columns equal to the number of parameters in the model. L matrices for effects are subsets of rows from the whole model L matrix.