Title:
Least-squares-Curve-Fit-unit
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Description: Least-squares is a way of approximating a set of data points by an equation, allowing you to predict intermediate values or calculate some measure of the data. You may have approximated a trend-line by drawing a straight line through a number of data points plotted on a graph. Least-squares does just this "fitting" but in a mathematical way that minimises the errors that result. My unit extends least-squares from just a straight-line fit into higher order polynomials for more complex data (where there may be a physical reason for a square-law fit, for example) or for a better match to the data.
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File list (Check if you may need any files):
Source\_Private
Source
PolyFitC++.zip
TestCurveFitForm.dfm
TestCurveFitForm.pas
TestCurveFit.cfg
TestCurveFit.dof
TestCurveFit.dpr
TestCurveFit.exe
TestCurveFit.res
CurveFit.txt
CurveFit.pas
TonyFoale.zip
