nls.control              package: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)

