GLMR Details

The Model Details list global metrics for the model as a whole. The metrics display has two columns: Name of the metric and Value of the metric. The following metrics are displayed:

• Adjusted R-Square

• Akaike's information criterion

• Coefficient of variation

• Corrected total degrees of freedom

• Corrected total sum of squares

• Dependent mean

• Error degrees of freedom

• Error mean square

• Error sum of squares

• Model F value statistic

• Estimated mean square error

• Hocking Sp statistic

• JP statistic (the final prediction error)

• Model converged (Yes or No)

• Model degrees of freedom

• Model F value probability

• Model mean square

• Model sum of squares

• Number of parameters (the number of coefficients, including the intercept)

• Number of rows

• Root mean square error

• R-square

• Schwartz's Bayesian Information Criterion

• Termination

• Valid covariance matrix computed (Yes or No)