maybe another way is by reconstructing the formula using paste(), e.g.,

data <- data.frame(y = rnorm(5), x1 = runif(5),
    z = runif(5), age = runif(5))

nameRsp <- "y"
nams <- names(data)
namsX <- nams[!nams %in% nameRsp]
form <- as.formula(paste(nameRsp, "~" ,
    paste("log(", namsX, ")", sep = "", collapse = "+")))

lm(form, data)


I hope it helps.

Best,
Dimitris


On 6/18/2011 10:41 AM, Dennis Murphy wrote:
Yes, it's possible, but if you want to do prediction on future
x-values, you will likely have a problem.

One way to do it would be something like (assuming y is the first column of dat)

reg<- lm(y ~ log(as.matrix(dat[, -1])), dat)

but the output would be pretty ugly (see summary(reg)). Another would
be to construct the matrix outside the data frame and do something
like

X<- log(as.matrix(dat[, -1]))
reg<- lm(dat$y ~ X)

There may be better ways, though...

Dennis

On Fri, Jun 17, 2011 at 11:08 PM, Scott Fortmann-Roe<scot...@gmail.com>  wrote:
Hi,

I would like to do a regression like:

         reg<- lm(y~log(.), data)

where the log function is applied to "." in the form:

        log(x1)+ log(x2)+ log(x3)...

instead of in the form

       log(x1+x2+x3+...)


Is this possible?

Thank you,
Scott

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--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
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