Thank you very much- I found ?as.formula of great help!
Dimitri
On Tue, Mar 9, 2010 at 6:36 PM, David Winsemius wrote:
> I already answered a very similar question earlier today. It was in the
> context of a question about a different regression function, but the formula
> methods are generic.
I already answered a very similar question earlier today. It was in
the context of a question about a different regression function, but
the formula methods are generic. Look for "Question on passing in
parameter to Cox hazard".
(That does not mean I approve of such fishing expeditions.)
-
Dimitri -
Without commenting on the wiseness of such an approach,
here's one way to do what you want:
regs = lapply(predictors,function(var)lm(data$y~data[,var]))
names(regs) = predictors
Now
regs[['x1']] holds the lm output from the regression of y on x1,
regs[['x2']] holds the lm output fr
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