sorry, the below should read:
A QR decomposition is done on the weighted gradient matrix; if the
estimate of the rank that results is less than min( the number of
columns in
the gradient (the number of nonlinear parameters), the
number
of rows (the number of observations) ) , nls stops.
so
//Referring to the response posted many years ago, copied below, what
is the specific criterium used for singularity of the gradient matrix?
Is a Singular Value Decomposition used to determine the singular
values? Is it the gradient matrix condition number or some other
criterion for
A QR decomposition is done on the weighted gradient matrix; if the
estimate of the rank that results is less than the number of columns in
the gradient (the number of nonlinear parameters), or less than the number
of rows (the number of observations), nls stops.
You can see the calls in the
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