The default printed output produced by the SSM procedure contains the following information:
brief information about the input data set, including the data set name and label
summary statistics for the response variables in the model, including the names of the variables, the total number of observations and the number of missing observations, the smallest and largest measurements, and the mean and standard deviation
information about the index variable, including the index value of the first and the last observation, the maximum difference between the successive index values, and the categorization of the data into regular, regular with replication, or irregular types
estimates of the regression parameters if the model contains any predictors, including their standard errors, t statistics, and p-values
convergence status of the likelihood optimization process if any parameters are estimated
estimates of the free parameters at the end of the model-fitting phase, including the parameter estimates and their approximate standard errors
the likelihood-based goodness-of-fit statistics, including the full likelihood, the sum of squares of residuals normalized by their standard errors, and the information criteria: AIC, AICC, HQIC, BIC, and CAIC
summary of most significant additive outliers