Using the builtin anscombe data set try this where we note that
the first 4 columns are x1, ..., x4 and the fifth column is y1.
for(i in 1:4) print(coef(lm(y1 ~., anscombe[c(1:i, 5)])))
On 12/6/06, Brooke LaFlamme <[EMAIL PROTECTED]> wrote:
> Hi all,
>
> I am running R version 2.4.0 on Window
How about this:
form <- formula(paste("y ~", paste("x", 1:n, sep="", collapse=" + ")))
model <- lm(form)
HTH,
Simon.
Brooke LaFlamme wrote:
> Hi all,
>
> I am running R version 2.4.0 on Windows XP. I am new and have the following
> question:
>
> I have a dataset of columns named x1, x2, x3...
Hi all,
I am running R version 2.4.0 on Windows XP. I am new and have the following
question:
I have a dataset of columns named x1, x2, x3...xn. I would like to write a
linear regression using lm that looks like this:
lm(y~x1+x2+x3+...+xn)
If I try to use the following code, I only get the mo
