I guess you are looking for

print(summary(lm(y ~ ., data=x.d)))

since '.' refers to all the columns of 'data' except perhaps the response.

On Sat, 25 Mar 2006, ivo welch wrote:

> Dear R wizards: This must have an obvious solution, but I am stumped.

> I can run a linear regression giving a matrix as the independent set

> of variables, but if I give a data frame (which I would like to give,

> because it should tell the linear model the names of the variables), R

> does not like it. An example is:

>

> N=20; y= rnorm(N);

> x.m <- (matrix( nrow=N, ncol=2 ));

> x.m[,1]=rnorm(N); x.m[,2]=rnorm(N);

>

> print(summary(lm(y ~ x.m))); # works

>

> x.d <- as.data.frame(x.m);

> names(x.d) <- c("one.rv", "two.rv"); # I would like the summary to

> know my variable names!

>

> print(summary(lm(y ~ x.d))); # fails

>

> [please indulge my semi-colons.] how should this be done? help, as

> always, appreciated.

>

> sincerely,

>

> /ivo welch

--

Brian D. Ripley,

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