[o] GLIM 3.77 update 1 (copyright)1985 Royal Statistical Society, London [o] [i] ? $units 24 $data case cont $dinput 11 80 $ [i] File name? ille [i] 0 61 0 45 0 5 1 4 [i] 1 88 4 76 0 20 4 6 [i] 1 77 20 61 12 27 13 2 [i] 12 77 22 62 24 19 18 8 [i] 11 60 25 28 13 16 6 2 [i] 4 23 4 8 2 0 3 0 [i] ? $cal age=%gl(6,4) : alco=%gl(4,1) $ [i] ? $fact age 6 alco 4 $ [i] ? $cal tot=case+cont $ [i] ? $yvar case $err binomial tot $fit $ [o] scaled deviance = 287.65 at cycle 4 [o] d.f. = 23 [o] [i] ? $fit age $dis e $ [o] scaled deviance = 166.61 at cycle 4 [o] d.f. = 18 [o] [o] estimate s.e. parameter [o] 1 -4.738 0.9482 1 [o] 2 1.689 1.008 AGE(2) [o] 3 3.449 0.9627 AGE(3) [o] 4 3.957 0.9583 AGE(4) [o] 5 4.082 0.9626 AGE(5) [o] 6 3.869 1.004 AGE(6) [o] scale parameter taken as 1.000 [o] [i] ? $fit alco $dis e $ [o] scaled deviance = 141.16 at cycle 4 [o] d.f. = 20 [o] [o] estimate s.e. parameter [o] 1 -2.589 0.1924 1 [o] 2 1.271 0.2322 ALCO(2) [o] 3 2.054 0.2610 ALCO(3) [o] 4 3.304 0.3235 ALCO(4) [o] scale parameter taken as 1.000 [o] [i] ? $fit age+alco $dis e $ [o] scaled deviance = 25.582 at cycle 4 [o] d.f. = 15 [o] [o] estimate s.e. parameter [o] 1 -6.147 1.039 1 [o] 2 1.631 1.078 AGE(2) [o] 3 3.426 1.036 AGE(3) [o] 4 3.943 1.032 AGE(4) [o] 5 4.357 1.039 AGE(5) [o] 6 4.424 1.089 AGE(6) [o] 7 1.434 0.2448 ALCO(2) [o] 8 2.007 0.2776 ALCO(3) [o] 9 3.680 0.3763 ALCO(4) [o] scale parameter taken as 1.000 [o] [i] ? $calc xalc=alco $fit -alco+xalc $dis e $ [o] scaled deviance = 31.741 (change = +6.159) at cycle 4 [o] d.f. = 17 (change = +2 ) [o] [o] estimate s.e. parameter [o] 1 -6.984 1.049 1 [o] 2 1.576 1.074 AGE(2) [o] 3 3.304 1.030 AGE(3) [o] 4 3.826 1.026 AGE(4) [o] 5 4.215 1.032 AGE(5) [o] 6 4.309 1.082 AGE(6) [o] 7 1.094 0.1033 XALC [o] scale parameter taken as 1.000 [o] [i] ? $stop