I am working on a forms application that reports based on observed data. Prior to development of the application, Excel spreadsheets were used along side excel solver to do non-linear least squares regression. Ive been out of University for a while, and it is possible for me to write one eventually, I doubt the client wants to wait for several months while I come up with a suitable replacement for excel’s sovler.
So my question is this; Is there a C# equivalent of the Excel solver’s non-linear least squares regression function? I have observed data and some initial guesses based on the observed data, so input isnt an issue. Hell, even the name of the equation used would be a good starting point.
Ive taken a look at alglib but im not sure which one would be appropriate.
Thanks in advance.
So I ended up biting the bullet and going with alglib. The lsfit package did eventually do what I wanted, though it took me pretty darn long since its not really readable by a non mathematician.
Ill keep this here so that anyone that has the same problem can find this.