Stat > Regression > Nominal Logistic Regression > Storage
Stores characteristics of the estimated equation, event probabilities, and aggregated data.
Characteristics of Estimated Equation
Coefficients: Check to store the estimated coefficients for the fitted model in a column in the order that they appear in the model. See Interpreting the estimated coefficients.
Standard error of coefficients: Check to store the standard errors of the estimated coefficients down a column in the order that they appear in the model.
Variance/covariance matrix: Check to store a (d x d) matrix, (X' W X)-1, where d is the number of parameters in the model. The (X' W X)-1 matrix is the variance-covariance matrix of the estimated coefficients.
Log-likelihood for last iteration: Check to store the last log-likelihood in a constant.
Event probabilities and/or aggregated data
Number of trials: Check to store the number of trials for each factor/covariate pattern.
For the remaining two storage items
Enter the number of events: Enter the number of levels (distinct values) of the response variable.
Event probabilities: Check to store the predicted event probabilities, one probability for each distinct value of the response.
Number of occurrences: Check to store the number of occurrences for the jth factor/covariate pattern.