This is a very basic question. Most of the SAS statistical and econometric modeling PROCs have some kind of option to produce an output data set with predicted values. PROC SEVERITY does not appear to me to provide such an option. Is this true? How can I generate predicted values from a PROC SEVERITY model? Can it be done via PROC PLM (in SAS/STAT)? I see that SAS Model Manager has an autocall macro, %MM_Severity_Create_Scorecode, but I don't have SAS Model Manager. Some PROC SEVERITY models can be replicated easily in PROC GENMOD or PROC GLIMMIX, but PROC SEVERITY also includes some distributions that are not easily available in PROC GENMOD or PROC GLIMMIX (e.g., Weibull).
What version of SAS/ETS are you on? If it is 13.1, check out the use of the OUTSCORELIB statement (see Example 23.8). It involves PROC FCMP, but the example provides sample code, so it should be possible. Otherwise, I think 's approach will be as good as can be done.
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.