Details Table

An overview of the effect variables used in the model. This tab identifies how many measures and classification effects were chosen for the model, the rank of the cross-product matrix, how many observations were read, and how many observations were used in the model.

The function and gradient iteration results. This tab shows the value of the objective (likelihood) function, its change in value, and its maximum gradient.

Provides the reason for convergence.

Lists all of the fit statistics described in the previous section.

Provides details for the Type III test. A Type III test examines the significance of each partial effect with all other effects in the model. For more information, see the chapter “The Four Types of Estimable Functions,” in the SAS/STAT User’s Guide.

Gives the estimated values for the model parameters.