You can use AIC to get what you want.
#example from lm help page
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2,10,20, labels=c("Ctl","Trt"))
weight <- c(ctl, trt)
anova(lm.D9 <- lm(weight ~ group))
Analysis of Variance Table
Response: weight
Df Sum Sq Mean Sq F value Pr(>F)
group 1 0.6882 0.6882 1.4191 0.249
Residuals 18 8.7293 0.4850
#get the AIC of lm model.
AIC(lm.D9)
[1] 46.17648
2006/6/9, Michael <[EMAIL PROTECTED]>:
Can "lm" return AIC information?
Thanks a lot!
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--
黄荣贵
Deparment of Sociology
Fudan University
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