Fit curves and surfaces to data using regression, interpolation, and smoothing

Curve Fitting Toolbox™ provides an app and functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations.  The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing.

After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.


Working with Curve Fitting Toolbox

Fit curves and surfaces to data, including linear and nonlinear regression, splines and interpolation, and smoothing.

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Perform linear and nonlinear regression.

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Splines and Interpolation

Perform variety of interpolation methods, including B-splines, thin plate splines, and tensor product splines.

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Remove noise from a data set while preserving important patterns.

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Previewing and Preprocessing Data

Progress from exploratory data analysis (EDA) through model development and comparison to postprocessing analysis.

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Developing, Comparing, and Managing Models

Fit multiple candidate models to a data set.

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Postprocessing Analysis

Select the curve or surface that best describes your data series, and then perform postprocessing analysis.

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Product Resources

Discover more about Curve Fitting Toolbox by exploring these resources.


Explore documentation for Curve Fitting Toolbox functions and features, including release notes and examples.


Browse the list of available Curve Fitting Toolbox functions.

Technical Articles

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User Stories

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Product Requirements

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Curve Fitting Toolbox apps enable you to quickly access common tasks through an interactive interface.

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Contact Bernhard Suhm,
Curve Fitting Toolbox Technical Expert

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Curve Fitting Toolbox requires: MATLAB

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