| nls.control {stats} | R Documentation |
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:
maxiter |
|
tol |
|
minFactor |
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)