# load example linear model from ?lm
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)
lm.D90 <- lm(weight ~ group - 1) # omitting intercept
# store the summary()
General question concerning summary results of a linear model. I've tried to
look in help and search online but I either don't understand it or I can't
find the answer.
I've defined a model with a really large number of variables and levels. The
summary results are so big that not all of the coeff
2 matches
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