ndCurveMaster is a comprehensive multivariable curve fitting tool designed to assist researchers in data analysis of complex sets. ndCurveMaster automatically applies nonlinear regression equations to your datasets, which can consist of observed or measured values. ndCurveMaster supports curve fitting across multiple dimensions (or input variables), from 2D up to an unlimited number of dimensions (nD), and is capable of handling data of any complexity. This flexibility in managing multiple input variables makes it a unique multivariable curve fitting tool on the market. This means that no matter how complex your data is or how many variables it has, ndCurveMaster can handle it with ease.
For example, ndCurveMaster can efficiently derive an optimal equation for a dataset with six inputs (x1 to x6) and an output Y, such as: Y = a0 + a1 · exp(x1)^-0.5 + a2 · ln(x2)^8 + ... + a6 · x6^5.2, to accurately match measured values.
Utilizing machine learning numerical methods, ndCurveMaster automatically fits the most suitable nonlinear regression functions to your dataset and discovers the relationships between the inputs and output. This robust tool offers linear, polynomial, and nonlinear curve fitting, utilizes crucial validation and goodness-of-fit tests, includes sensitivity analysis for assessing variable significance, and provides advanced assessments such as overfitting and multicollinearity detection (VIF and Pearson matrix). ndCurveMaster enables rapid generation of high-quality results that can be effortlessly exported to Excel, Python, C/C++, and Pascal for further analysis.
Unique Features of ndCurveMaster:
- Discover the best nonlinear regression equation with an unlimited number of input variables and their combinations.
- Utilize the latest scientific solutions, including heuristic techniques and machine learning algorithms for curve fitting.
- Analyze data and assess the significance of variables using ANOVA, the P test, and collinearity analysis.
- Detect multicollinearity and overfitting through test set validation, collinearity analysis, the Pearson correlation matrix, and more.
- Assess the significance of different variables within models using Sensitivity Analysis.
- Evaluate result quality using performance criteria.
- Achieve rapid generation of high-quality results and significant time savings.
Overall, if you are a researcher, scientist, or student who needs to analyze complex data sets, then look no further than ndCurveMaster!
You can try the product for free for 9 days.
Please note, ndCurveMaster requires elevated permissions for installation and operation.
