[Originally sent this to [EMAIL PROTECTED], but in case that's
the wrong list I'm re-posting. Apologies if this becomes a re-post]
--- Begin Message ---
I'm trying to fit a simple linear regression of just Y ~ X, but both X
and Y are noisy. Thus instead of fitting a standard linear model
minimizing vertical residuals, I would like to minimize
orthogonal/perpendicular residuals. I have tried searching the
R-packages, but have not found anything that seems suitable. I'm not
sure what these types of residuals are typically called (they seem to
have many different names), so that may be my trouble. I do not want to
use Principal Components Analysis (as was answered to a previous
questioner a few years ago), I just want to minimize the combined noise
of my two variables. Is there a way for me to do this in R?
Jonathon Kopecky
University of Michigan
--- End Message ---
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
