[time-nuts] Digital temperature compensation

[Dan Drown]

I gave zunzun a try and the one with the lowest root mean squared error was:
f(x) = a( x**0.5) + b( x ) + c( sin(x) ) + d( cos(x) )

It got 0.202 RMSE, so I guess I'll stick with my original function as  
it seems to be closer to what I expect will happen at colder/hotter  
temps.

You have a good point about temperatures outside my data samples.   
Once it gets hot again in the summertime, I'm sure I'll have to  
re-evaluate this.

Quoting Mark Sims <holrum at hotmail.com>:
> You could try submitting your data to zunzun.com   It will fit it to  
> around 40,000 different curves and find the best ones.
>
> Beware that with all curve fitting formulas,  once your live data  
> starts to wander out of the range of your original curve fit data,   
> things can go rather badly...