Denote the linear mixed model by E[Y|γ] = Xβ + Zγ. Here is the vector of fixed effect coefficients and γ is the vector of random effect coefficients. The conditional predictions are the predictions obtained from the model given by .
Options that are appropriate for the model that you are fitting are enabled. See Figure 7.21 for an example of a Profiler. See Figure 7.42 for an example of a Surface Profiler. For more information about the profiler, see Surface Plot in the Profilers book.