VIF prints variance inflation factors with the parameter estimates. Variance inflation is the reciprocal of tolerance. COVB prints the estimated covariance matrix of the estimates. SEQB prints a sequence of parameter estimates as each variable is entered into the model. P calculates predicted values from the input data and the estimated model.
R requests that the residual be analyzed.
The procedure then treats the data set as if each observation appears n times, where n is the value of the FREQ variable for the observation. The total number of observations will be considered equal to the sum of the FREQ variable when the procedure determines degrees of freedom for significance probabilities. For each statistic, specify the keyword, an equal sign, and a variable name for the statistic on the output data set. This includes the variance of the error as well as the variance of the parameter estimates. Cook's D influence statistic.