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Nonlinear least-squares regression programs for microcomputers.

C C Peck, B B Barrett

    Journal of Pharmacokinetics and Biopharmaceutics
    |October 1, 1979
    PubMed
    Summary
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    Nonlinear least-squares regression is feasible on microcomputers using BASIC. This study details existing BASIC programs and contrasts microcomputer with mainframe regression capabilities.

    Area of Science:

    • Computational chemistry
    • Scientific computing
    • Data analysis

    Background:

    • Nonlinear least-squares regression is a powerful statistical method.
    • Traditionally, complex regression analyses required mainframe computers.
    • Advancements in microcomputer technology enable sophisticated computations.

    Purpose of the Study:

    • To assess the feasibility of performing nonlinear least-squares regression on microcomputers.
    • To describe existing BASIC programs for nonlinear regression on microcomputers.
    • To compare microcomputer-based regression with traditional mainframe approaches.

    Main Methods:

    • Review of existing nonlinear regression programs written in BASIC.
    • Implementation and testing of two such programs on microcomputers.

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  • Comparative analysis of performance and resource requirements.
  • Main Results:

    • At least five nonlinear regression programs in BASIC were identified.
    • Two programs were successfully implemented and characterized on microcomputers.
    • Identified advantages and disadvantages of microcomputer-based nonlinear regression.

    Conclusions:

    • Microcomputers with BASIC and sufficient memory (8K+ bytes) can perform nonlinear least-squares regression.
    • Specific BASIC programs offer viable alternatives to mainframe regression for certain applications.
    • Microcomputer regression presents a cost-effective and accessible option for researchers.