R help - Feb 2012 - How to use a sequence of covariates in linear model (lm)?

I have a high dimension linear model:

y~ x1 + x2 + ... + x_n.  n is very large.

For linear model fit, I wish to use a sequence of covariates, say X1 to
X200, without typing every single covariate in the function (my variable
names are coded in the pattern of X1, X2, ...). I think all.var or
all.names might have worked but I can't figure out how to do it. Please
help.

Thanks,

Michael

	[[alternative HTML version deleted]]

Usually that's what the dot in a formula is used for.

E.g.,

data(iris)
str(iris)
lm(Petal.Width ~ ., data = iris)

Michael

On Fri, Feb 3, 2012 at 10:45 AM, michael <tufemichael at gmail.com>
wrote:
> I have a high dimension linear model:
>
> y~ x1 + x2 + ... + x_n. ?n is very large.
>
> For linear model fit, I wish to use a sequence of covariates, say X1 to
> X200, without typing every single covariate in the function (my variable
> names are coded in the pattern of X1, X2, ...). I think all.var or
> all.names might have worked but I can't figure out how to do it. Please
> help.
>
> Thanks,
>
> Michael
>
> ? ? ? ?[[alternative HTML version deleted]]
>
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