The special name "." may be used on the right side of the "~" operator,
to stand for all the variables in a data.frame other than the response.
--John Chambers, Statistical Models in S, p. 101
So, if the y and Xi (in your case) were the only variables in mydata, then
lm(y ~ . , data = mydata)
would be of use.
Erik
June Kim wrote:
Hello,
Say I want to make a multiple regression model with the following expression:
lm(y~x1 + x2 + x3 + ... + x_n,data=mydata)
It gets boring to type in the whole independent variables, in this
case x_i. Is there any simple way to do the metaprogramming for this?
(There are different cases where the names of the independent
variables might sometimes have apparent patterns or not)
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