nls.control {stats}R Documentation

Control the Iterations in nls

Description

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

Usage

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

Arguments

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.

Value

A list with exactly three components:

maxiter
tol
minFactor

with meanings as explained under ‘Arguments’.

Author(s)

Douglas Bates and Saikat DebRoy

References

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

See Also

nls

Examples

nls.control(minFactor = 1/2048)

[Package stats version 2.1.0 Index]