ndCurveMaster
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ndCurveMaster - Multivariable Curve Fitting & Data Analysis Software

ndCurveMaster is a unique curve fitting tool that automatically fits multivariable nonlinear equations to your datasets using an unlimited number of input variables. For instance, a generated model may appear as follows:

Y = -2.47 + 3.15·x1-5 - 0.86·sin(x2)-1.3 + 1.92·1/4x3 - 4.38·x4-0.2 + 0.73·ln(x5)2 + 2.64·exp(x6)2 - 1.58·cos(x2)1/2·ln(x3)·x6-1/3

Whether you are a researcher, engineer, or student, ndCurveMaster offers powerful data analysis capabilities, enabling you to uncover hidden insights and develop accurate predictive models.

Key Features:

  • Robust Model Generation: Automated fitting of multivariable nonlinear equations to data using regression methods.
  • Multivariable Curve Fitting: Analyze data with any number of independent variables.
  • Automated Data Analysis: Identify key relationships between variables for deeper insights.
  • Comprehensive Fit Evaluation: Benefit from features such as ANOVA, regression diagnostics, multicollinearity checks, residual normality tests, overfitting detection, cross-validation, and variable sensitivity analysis.

Learn more about ndCurveMaster’s full feature set.

Renowned institutions such as Göteborgs Universitet, Lawrence Livermore National Laboratory (USA), Oak Ridge National Laboratory (ORNL), Robert Morris University (RMU), and Kuwait University trust ndCurveMaster for their data analysis needs. Explore our Scientific Publications, Institutions, and Companies Using ndCurveMaster page for a complete list of organizations and real-world case studies.

Try ndCurveMaster Today

Download a free trial of ndCurveMaster for Windows or Mac to experience its cutting-edge data analysis tool and curve fitting capabilities. Alternatively, get the free trial for Windows from the Microsoft Store .


Free Curve Fitting Software: ndCurveMaster 2D

If you’re seeking a curve fitting software that’s free and perfect for simpler datasets with a single independent variable, ndCurveMaster 2D is the ideal solution. This fully functional curve fitting tool has no time restrictions and is excellent for straightforward regression analysis. Check out an example of a model generated by ndCurveMaster 2D:

Y = a0 + a1·ln5(x) + a2·x1/2 + a3·x1.3 + a4·ln2(x) + … + an·exp(x)

Why Choose ndCurveMaster 2D?

  • Free and Unlimited: Enjoy all features without any cost or time limitations.
  • Single Variable Analysis: Perfect for analyzing data with one independent variable.
  • Easy to Use: Designed with students and researchers in mind.

Download ndCurveMaster 2D for Windows or Mac — free of charge


Try Our Free Online Regression Calculator and Curve Fitting Tool

If you're looking for a quick and free way to analyze data with a single independent variable, try our online curve fitting tool or regression calculator. It supports linear, polynomial (degrees 2–5), exponential, logarithmic, power, Gaussian, Michaelis-Menten, as well as 4PL and 5PL regression models. No login, no installation — it works instantly in your browser.


Latest Articles & Insights

Nonlinear Regression Tutorial: Step-by-Step Modeling Workflow

Learn how to build, validate, and improve a nonlinear regression model using a data-driven workflow in ndCurveMaster, including overfitting detection and model optimisation.
Read the nonlinear regression tutorial

Improving a Regression Model Using the Bland–Altman Test

Discover how to remove proportional bias and validate a regression model using the Bland–Altman test on an independent medical dataset in ndCurveMaster.
Read the Bland–Altman tutorial

Elimination of Multicollinearity in Regression Models

Learn how to detect multicollinearity using VIF and correlation analysis, combine correlated predictors, and improve regression model reliability in ndCurveMaster.
Read the multicollinearity elimination tutorial

Curve Fitting Tutorial: From Polynomial to Nonlinear Model

See how to move from a simple polynomial fit to a more accurate nonlinear equation and improve curve fitting results step by step in ndCurveMaster.
Read the curve fitting tutorial

4D Curve Fitting Tutorial: From Polynomial to Optimized Nonlinear Model

Learn how to fit a function with three input variables, compare a polynomial model with an optimized nonlinear model, and achieve much higher accuracy in ndCurveMaster.
Read the 4D curve fitting tutorial

Discovering Physical Equations from Data

Explore how ndCurveMaster can discover physical relationships directly from data using examples based on acceleration, equivalent resistance, and Coulomb’s law.
Read the physical equation discovery tutorial

Calculating Constants of Differential Equations from Data

Learn how to estimate the constants of the general solution of a differential equation from measurement data using a beam deflection example in ndCurveMaster.
Read the differential equation constants tutorial

Comprehensive Guide to Curve Fitting in Excel

Learn how to fit complex nonlinear models in Excel using Solver and compare results with ndCurveMaster for improved accuracy.
Read the Excel curve fitting guide

What Is Curve Fitting and How Does It Work?

Discover how ndCurveMaster automates multivariable curve fitting and data analysis, helping you achieve precise and reliable results.
Learn how curve fitting works