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Dear Consultant I've done linear regression successfully on R a few times before. But this time it keeps telling me:- "Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases" The model is:- fm1 <- lm(TS.CM ~ AGE + SEX + HFE.Y.01 + TFC2B.01 + HFE.Y.01*TFC2B.01, data = IRONresults, subset = DIAG2.1D == 0) summary (fm1) TS.CM is a

We are wanting to use R instead of/in addition to our existing stats package because of it's huge assortment of stat functions. But, we routinely need to fit GLM models to files that are approximately 2-4GB (as SQL tables, un-indexed, w/tinyint-sized fields except for the response & weight variables). Is this feasible, does anybody know, given sufficient hardware, using R? It appears to

Can R support data manipulation programming that is available in the SAS datastep?  Specifically, can R support the following: -          Read multiple dataset one record at a time and compare values from each; then base on if-then logic write to multiple output files -          Load a lookup table and then process a different file; based on if-then logic, access and lookup values in the table