General linear models with random terms must be hierarchical. In a hierarchical model, all lower-order terms that comprise the higher-order terms also appear in the model. For example, a model that includes the interaction term A*B*C must also include the terms: A, B, C, A*B, A*C, and B*C to be hierarchical.
If you do not want to add the displayed terms, consider removing the higher-order terms, unless subject area knowledge suggests that you include them.
For a model with random factors, you usually use Fit Mixed Effects Model so that you can use the Restricted Maximum Likelihood estimation method (REML).