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:

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]