LM Model

"Simon P. Kempf" <simon.kempf at web.de> 2/9/2007 1:36 am >>> asked

<<<< 
But I want to skip the lm function and specify my own regression
equation RENT= 15 -0.15*AGE1 and then use the predict.lm function.
However, in order to use the predict.lm function I need an object of
class lm. Is there any way to do so? Or maybe somebody has another
solution?

Maybe I am missing something, but why not just write the formula
without the predict.lm?

e.g
<<<
AGE1 <- c(18, 19, 20, 21)
RENT= 15 -0.15*AGE1
RENT

Peter


 

Thanks in advance,

 

Simon

 

 



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Simon P. Kempf <simon.kempf <at> web.de> writes:

[SNIP]

But I want to skip the lm function and specify my own regression equation
RENT= 15 -0.15*AGE1 and then use the predict.lm function. However, in order
to use the predict.lm function I need an object of class lm. Is there any
way to do so? Or maybe somebody has another solution? 

Thanks in advance,

Simon

Here is one way. Take a look at help(offset), help(lm), and help(lm.predict).

xx <- runif(30)
yy <- rnorm(30)
mydata<-data.frame(xx,yy)
lm(yy~offset(15*rep(1,30))+offset(-0.15*xx)-1,mydata)

Mark Lyman