Suppose I have x variables x1, x2, x3 (however in general I don't know
how many x variables there are). I can do
X<-cbind(x1,x2,x3)
lm(y ~ X)
This fits the no-interaction model with b0, b1, b2, b3.
How can I get lm() to fit the model that includes interactions when I
pass X to lm()? For my example,
lm(y~x1*x2*x3)
I am looking for something along the lines of
lm(y~X ...)
where ... is some extra stuff I need to fill in.
Thanks for any help.
Bill