Live long and prosper using PROC REG


The secret to long life is good genes, right?

This publication titled "Joint influence of small-effect genetic variants on human longevity" showed up on my Google alerts, and from what I can read (all of it) and understand (very little of it), that assertion is true.

The researchers used PROC REG for their analysis, a procedure that boasts good genes and long life itself. If you are familiar with PROC REG as the granddaddy of regression procedures in SAS, you should get to know its progeny: ORTHOREG, TRANSREG, PLS (partial least squares), ROBUSTREG, QUANTREG, and more.

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Chris Hemedinger

Senior Manager, SAS Online Communities

+Chris Hemedinger is the manager of SAS Online Communities. Since 1993, Chris has worked for SAS as an author, a software developer, an R&D manager and a consultant. Inexplicably, Chris is still coasting on the limited fame he earned as an author of SAS For Dummies.  He also hosts the SAS Tech Talk webcasts each year from SAS Global Forum, connecting viewers with smart people from SAS R&D and the impressive work that they do.


  1. And don't forget GLMSELECT for access to the latest in variable selection techniques such as LAR (least angle regression), LASSO (least absolute shrinkage and selection operator) selection!

    BTW: PLS is also known as Projection to Latent Structures, which is a nice geometric description of the statistical method.

    • Van, I asked Rick Wicklin, and he responded with this:

      The F statistic is not part of the OUTEST= data set, so use ODS OUTPUT ANOVA=datasetname;

      proc reg data=sashelp.class;
      ods output ANOVA=anova;
      model weight=height;
      proc print data=anova(where=(source="Model"));
      var FValue;

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