Hi,
The wikipedia shows the matrix algebra that calculates Total regression,
you could put this into R code to solve your problem. Also take a look
at the pcrcomp or svd function for singular value decmoposition
implementation. This would probably not be generic, but that is not a
problem for you.
groet,
Paul
Gnewbee wrote:
Dear all,
After a thorough research, I still find myself unable to find a
function that does linear regression of 2 vectors of data using the
"total least squares", also called "orthogonal regression" (see :
http://en.wikipedia.org/wiki/Total_least_squares) instead of the
"ordinary least squares" method. Indeed, the "lm" function has a
"method" argument but the manual says that there is only one option so
far.
However, since the samples I am studying have the type of relationship
that requires orthogonal regression, I am bound to use it.
The only thing I've found so far is the "tlsce" function in the "BCE"
package (see : http://cran.r-project.org/web/packages/BCE/index.html)
but I'm not sure it's of general use or designed for the particular
application of taxonomy, since its arguments are supposed to be matrices.
If any of you knew a function that does this or had a personnal script
to do this kind of regression, I'd be very grateful.
Thanks a lot in advance
Gnewbee
______________________________________________
R-help@r-project.org 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.
--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +3130 274 3113 Mon-Tue
Phone: +3130 253 5773 Wed-Fri
http://intamap.geo.uu.nl/~paul
______________________________________________
R-help@r-project.org 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.
