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  2. SegReg - Wikipedia

    en.wikipedia.org/wiki/SegReg

    When only one independent variable is present, the results may look like: X < BP ==> Y = A 1.X + B 1 + R Y; X > BP ==> Y = A 2.X + B 2 + R Y; where BP is the breakpoint, Y is the dependent variable, X the independent variable, A the regression coefficient, B the regression constant, and R Y the residual of Y.

  3. Category:Free plotting software - Wikipedia

    en.wikipedia.org/.../Category:Free_plotting_software

    This is a category of articles relating to software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: "free software" or "open source software". Typically, this means software which is distributed with a free software license , and whose source code is available to anyone who receives a copy ...

  4. Category:Regression and curve fitting software - Wikipedia

    en.wikipedia.org/wiki/Category:Regression_and...

    Pages in category "Regression and curve fitting software" The following 23 pages are in this category, out of 23 total. This list may not reflect recent changes. C.

  5. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/.../Origin_(data_analysis_software)

    Origin is a proprietary computer program for interactive scientific graphing and data analysis.It is produced by OriginLab Corporation, and runs on Microsoft Windows.It has inspired several platform-independent open-source clones and alternatives like LabPlot and SciDAVis.

  6. Desmos - Wikipedia

    en.wikipedia.org/wiki/Desmos

    The tool comes pre-programmed with 36 different example graphs for the purpose of teaching new users about the tool and the mathematics involved. [ 15 ] As of April 2017, Desmos also released a browser-based 2D interactive geometry tool, with supporting features including the plotting of points, lines, circles, and polygons.

  7. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

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