[R] Total least squares linear regression

[Gnewbee]

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