Use non-linear least squares to fit a function, f, to data.

curve_fit {math}

R Documentation

Use non-linear least squares to fit a function, f, to data.

Description

Assumes ydata = f(xdata, args) + eps.

Usage

curve_fit(f, xdata, ydata, ...);

Arguments

The model function, f(x, …). It must take the independent variable as the first argument and the parameters to fit as separate remaining arguments.

xdata

The independent variable where the data is measured. Should usually be an M-length sequence or an (k,M)-shaped array for functions with k predictors, and each element should be float convertible if it is an array like object.

ydata

The dependent data, a length M array - nominally f(xdata, ...).

args

arguments to fit in the given function `f`. [as list]

env

[as Environment]

Authors

sciBASIC.NET

Value

this function returns data object of type double.

clr value class

double

[Package math version 5.0.1.2389 Index]