This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English version of the page.

Note: This page has been translated by MathWorks. Click here to see
To view all translated materials including this page, select Country from the country navigator on the bottom of this page.


Fit using smoothing splines and localized regression, smooth data with moving average and other filters


Curve FittingFit curves and surfaces to data


fitFit curve or surface to data
fittypeFit type for curve and surface fitting
fitoptionsCreate or modify fit options object
getGet fit options structure property names and values
setAssign values in fit options structure
smoothSmooth response data
prepareCurveData Prepare data inputs for curve fitting
prepareSurfaceDataPrepare data inputs for surface fitting
excludedataExclude data from fit

Examples and How To

Smoothing Splines

Fit smoothing splines in Curve Fitting app or with the fit function to create a smooth curve through data and specify the smoothness.

Lowess Smoothing

Fit smooth surfaces to your data in Curve Fitting app or with the fit function using Lowess models.

Filtering and Smoothing Data

Use the smooth function to smooth response data, using methods for moving average, Savitzky-Golay filters, and local regression with and without weights and robustness (lowess, loess, rlowess and rloess).

Fit Smooth Surfaces To Investigate Fuel Efficiency

This example shows how to use Curve Fitting Toolbox™ to fit a response surface to some automotive data to investigate fuel efficiency.


Nonparametric Fitting

Nonparametric fitting to create smooth curves or surfaces through your data with interpolants and smoothing splines.