Dear R listers,
I am trying to be a new R user, but life is not that easy.
My problem is the following one: let's assume to have 3 outcome variables
(y1, y2, y3) and 3 explanatory ones (x1, x2, x3).
How can I run the following three separate regressions without having to
repeat the lm command three times?
fit.1 <- lm(y1 ~ x1)
fit.2 <- lm(y2 ~ x2)
fit.3 <- lm(y3 ~ x3)
Both the y and x variables have been generated extracting random numbers
from uniform distributions using a command such as:
y1 <- runif(100, min = 0, max = 1)
I went to several introductory manuals, the manual R for stata users,
econometrics in R, Introductory statistics with R and several blogs and help
files, but I didn't find an answer to my question.
can you please help me? In Stata I wouldn't have any problem in running
this as a loop, but I really can't figure out how to do that with R.
Thanks in advance for all your help.
Best,
f.
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