With general MANOVA, there are two SSCP matrices associated with each term in the model, the sequential SSCP matrix and the adjusted SSCP matrix. These matrices are analogous to the sequential SS and adjusted SS in univariate General Linear Model. In fact, the univariate SS's are along the diagonal of the corresponding SSCP matrix. If you do not specify an error term in Error when you enter terms in Custom multivariate tests for the following terms, then the adjusted SSCP matrix is used for H and the SSCP matrix associated with MSE is used for E. If you do specify an error term, the sequential SSCP matrices associated with H and E are used. Using sequential SSCP matrices guarantees that H and E are statistically independent.