A summary of an lm result includes some readily-understood goodness of fit information: 1) Residual standard error 2) Multiple R-Squared 3) Adjusted R-Squared 4) F-statistic With limma, and eBayes, I deduce (incorrectly?) that efit$F and efit$F.p.value convey information similar to number 4 above. How about the first three measures -- is there any way to get equivalent information for the linear model eFit produces? Thanks! - Paul