You can express your model like this:
lm(X1 ~., x)
?formula gives some help on formulas although the . notation
above does not seem to be referred to there.
Date: Tue, 21 Sep 2004 11:52:04 +0800
From: rongguiwong <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Subject: [R] how to take this experiment with R?
i want to generate 30 independent variables and 1 dependent variable,each has
50 draws from a unit normal distribution.
then, searching for the independent variables that together would do the best
job for fitting the denpendent variabe.
my way to generate the data is.
x<-data.frame(matrix(rnorm(1550),c(50,31)))
but is there more better way to do it?
i want to use the followling is to search the model.
model<-step(lm(X1~X2+X3+X4.....))
but i don't know the to express the formula with lm function.i think there is
a way the express it efficently.
i try ?lm .but on result be found.
any help is welcome!
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