Unique multivariable curve fitting program that automates the fitting of nonlinear. regression equations to your datasets, accommodating an unlimited number of input variables.
ndCurveMaster is a specialized software designed for multivariable curve fitting. It automatically applies nonlinear regression equations to your datasets, which can consist of observed or measured values. The software supports curve and surface fitting in 2D, 3D, 4D, 5D, ..., nD dimensions. 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, 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.
Overall, if you are a researcher, scientist, or student who needs to analyze complex data sets, then look no further than ndCurveMaster!
Updated on Mar 12 2024
Full list of changes available here
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