[R] least summed square distance + fit

[Jan Malte Wiener]

hi,
I have a matrix (representing original data) that looks e.g. like this 
(consider it beeing x,y,z coords):
441     447	0
265     407	0
374     223	0
288     574	0
669     309	0
591     195	0
595     475	0
424     351	0

I get a second matrix (subject data) that is similiar to the above 
matrix but it is scaled, translated and rotated (and of course a little 
inprecise).
Also I have an errorfunction that sums up  the squared distances of 
corresponding points of orig matrix and subject matrix.

And here comes my problem:
I now need an fitting function that scales, rotates and translates my 
subject matrix so that the error (computed by the errorfunction) is 
minimized.
Since I am new to R and actually new to that problem, I would be glad if 
someone could tell me if there is a precompiled fitting procedure that 
fits my requirements.

greetinx jan



-- 
Jan Malte Wiener
Max-Planck-Institute for Biological Cybernetics
Spemannstr. 38, 72076 Tuebingen, Germany
Tel.: +49 7071 601 631
Email: jan.wiener at tuebingen.mpg.de

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