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Given a simple data set, I would like to be able to calculate a trending formula given it’s a second order polynomial regression.
In fact, it would be great if one could even forecast X periods during calculation (similar to what Excel does).
I’m looking for a portable C/C++ package that’s relatively easy to use, and allows it to spit out the “best-fit” (highest R^2 value) curve.
Any suggestions? Thanks!
The GNU
gslClibrary can do multiparameter fits. Its interface is of course veryC-like, but there are version for many platforms available, including for Windows.See the quadratic fit example in the
gsldocumentation for how to implement this for your case.