R: Control the Iterations in nls

nls.control {stats}

R Documentation

Control the Iterations in nls

Allow the user to set some characteristics of the nls nonlinear least squares algorithm.

nls.control(maxiter=50, tol=1e-05, minFactor=1/1024)

`maxiter`	A positive integer specifying the maximum number of iterations allowed.
`tol`	A positive numeric value specifying the tolerance level for the relative offset convergence criterion.
`minFactor`	A positive numeric value specifying the minimum step-size factor allowed on any step in the iteration. The increment is calculated with a Gauss-Newton algorithm and successively halved until the residual sum of squares has been decreased or until the step-size factor has been reduced below this limit.

A list with exactly three components:

with meanings as explained under ‘Arguments’.

Douglas Bates and Saikat DebRoy

Bates and Watts (1988), Nonlinear Regression Analysis and Its Applications, Wiley.

nls.control(minFactor = 1/2048)