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LILLY--a linear least squares curve fitting program for one independent variable.

A E Aubert, H De Geest

    International Journal of Bio-Medical Computing
    |January 1, 1987
    PubMed
    Summary
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    This study introduces LILLY, a versatile program for linear least squares curve fitting. LILLY offers multiple curve types, subset analysis, and statistical reporting for enhanced data analysis.

    Area of Science:

    • Data analysis and computational statistics.
    • Scientific programming and algorithm development.

    Background:

    • Accurate data fitting is crucial for scientific interpretation.
    • Existing methods may lack flexibility in curve selection and subset analysis.

    Purpose of the Study:

    • To develop and present a comprehensive software tool for linear least squares curve fitting.
    • To provide advanced features for data subset analysis and statistical reporting.

    Main Methods:

    • Implementation of a linear least squares algorithm.
    • Inclusion of seven distinct curve fitting models.
    • Development of functionalities for data subset selection and analysis.
    • Integration of statistical reporting and digital plotter output.

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    Main Results:

    • The LILLY program successfully performs linear least squares curve fitting.
    • It provides confidence regions and prediction intervals for data points.
    • The software supports analysis of data subsets with different symbols.

    Conclusions:

    • LILLY offers a flexible and powerful solution for curve fitting tasks.
    • The program enhances data analysis capabilities with its diverse features.
    • It serves as a valuable tool for researchers requiring detailed statistical insights.