nls
nonlinear least squares algorithm.nls.control(maxiter = 50, tol = 1e-05, minFactor = 1/1024,
printEval = FALSE, warnOnly = FALSE)
nls()
should
return instead of signalling an error in the case of termination
before convergence.
Termination before convergence happens upon completion of maxiter
iterations, in the case of a singular gradient, and in the case that the
step-size factor is reduced below minFactor
.list
with exactly five components:
nls
nls.control(minFactor = 1/2048)
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