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Regression Analysis and Curve Fitting
The information on this page is provided for regression methods concerning two continuous variables (pre-defined and user-defined). For multiple-regression, partial least squares regression (PLS), or logistic regression, visit the corresponding information page using the related link on the right-hand side panel.
Regressions Concerning Two Continuous Variables (Pre-Defined)
The regression methods grouped under this title either deal with finding the relationship between one outcome (dependent) variable and one predictor (independent) variable, or finding the relationship between two variables where the designation of dependent and independent variables is irrelevant.
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You can choose between 8 different methods:
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Cubic Spline Interpolation
A cubic spline is made from piece-wise third-order polynomials that pass through the control points provided.
- You can apply a cubic spline interpolation to a displayed chart, or generate a specified sequence of interpolations (using the Stats Analyzer) and save them in a worksheet for other uses.
User-Defined Non-Linear Regression
The user-defined regression uses Levenberg-Marquardt "full Newton-type" method.
- Aabel is distributed with a library of functions for use with the user-defined regression analysis.
- Any calculated new functions and their parameters could be stored as a library function for later use.
- Aabel uses an interactive graphical interface for the user-defined regression analysis.











