I've pushed a number of changes which together allow the GLM command to accept interactions between factors.
The only problem is, that the answers are wrong :( The sum of squares for factors with interactions are correct, and all the degrees of freedome are correct. Unfortunately the ssq for factors without interactions are wrong (my experiments showed 3.0 and 3.5 times too high) if the analysis also includes interactions between those factors. However, if the analysis is run on the individual variables, without the interactions, then the results are correct. So I think the get_ssq function needs some more work. J' -- PGP Public key ID: 1024D/2DE827B3 fingerprint = 8797 A26D 0854 2EAB 0285 A290 8A67 719C 2DE8 27B3 See http://pgp.mit.edu or any PGP keyserver for public key.
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