[R] Multi-dimensional non-linear fitting - advice on best method?
julian at d-and-j.net
Sun Apr 24 02:38:13 CEST 2011
I have a set of data of the form (x, y1, y2) where x is the
independent variable and (y1, y2) is the response pair. The model is
some messy non-linear function:
(y1, y2) = f(x; param1, param2, ..., paramk) + (y1error, y2error)
where the parameters param1, ..., paramk are to be estimated, and I'll
assume the errors to be normal for sake of simplicity.
If there were only one response per input, I would use the nls()
function, but what can I do in this case?
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