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The file will read selected *.dat file (an ascii file with data in an x y dy format) and using stepwise linear regressionwill pick the order of the Maclaurin sereis to fit the data using the [Akaiki Information Criterion](https://en.wikipedia.org/wiki/Akaike_information_criterion).
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To avoid issues with the different types of sum of squares regression (commonly called Type I, II and III sum of squares), we recommend sorting the data (e.g. see [ge-lowQ2.dat](data/ge-lowQ2.dat)). NOTE: A magnet's hysterisis curve would be an example of data where order of the points is critially important.
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To avoid issues with the different types of sum of squares regression (commonly called Type I, II and III sum of squares), we recommend sorting the data. NOTE: A magnet's hysterisis curve would be an example of data where order of the points is critially important.
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### Example Results
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As an example of the power of the technique, we use the data from Bevington and Robinson page 120 [Bevington.dat](data/Bevington.dat) to show how the code correctly determines the correct order polynominal to use to discribe the data.
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The [ge-lowQ2.dat](data/ge-lowQ2.dat) and [ge-mainz14.dat](data/ge-mainz14.dat) files are the files used in the determination of the proton radius.
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