A Multivariable Regression Algorithm
COLD REGIONS RESEARCH AND ENGINEERING LAB HANOVER NH
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A BASIC algorithm has been developed that is capable of fitting a user-defined regression equation to a set of data. This best-fit-curve algorithm is unique in that it allows multiple variables and multiple forms exponential, trigonometric, logarithmic, etc. to be present in a single regression equation. The least-squares regression performed determines the constants for each of the regression equation terms to provide a best-fit curve. Other programs within the algorithm set allow for data entry, editing and print-out, and plotting of the raw data and their best-fit regression curve.
- Statistics and Probability
- Computer Programming and Software
- Computer Hardware