Name: ndCurveMaster
Price: 349.00 USD

ndCurveMaster overview

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

Y = a0 + a1·x1-5 + a2·sin(x2)-1.3 + a3·1/4x3 + a4·x4-0.2 + a5·ln(x5)2 + a6·exp(x6)2 + a7·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: Automatically discover optimal multivariable nonlinear regression equations that describe your data.
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.

What’s new in version 8.7

The latest version of ndCurveMaster is 8.7.1.2, released on March 26, 2025. Explore the new features:

Optimized Regression Search: New algorithm with automatic overfitting control.
Fundamental Function Sampling: Random search starts from basic functions. Watch video
Performance Improvements: Enhanced speed and memory management.
Q-Q Plot & Normality Tests: Visual and statistical analysis of residuals. Learn more
GUI & Workflow: Improved interface and better handling of large datasets.
macOS Optimization: Fully compatible with macOS Sonoma and Sequoia.
High Performance: Multi-threaded processing, better model quality, relative RMS error.
Variable Sensitivity: Identify and analyze most impactful variables.
Python Integration: Export functions and integrate with Python workflows.
Advanced Algorithms: Upgraded nonlinear regression engine.
Code Export: Generate functions in C/C++ and Pascal for external use.