> In the general nonlinear case, it's common for R^2 to be negative since a
> nonlinear model may not be able to tune its scale and offset. The
> definition used is:
>
> R^2 = 1 - SS_error/SS_total
>
> Wikipedia discusses negative R^2 briefly in the summary:
http://en.wikipedia.org/wiki/Coefficient_of_determination
>
> You might also see negative R^2 because Eureqa/Formulize optimizes absolute
> error by default rather than squared error. If R^2 is the statistic you are
> most interested in, definitely switch to the "Mean squared error" option in
> the "Set Target" view.
>
> The Results view also displays the correlation coefficient which you might
> find more intuitive. This ignores scale and offset and will always range -1
> to 1. Squaring this value will produce an alternative calculation of R^2.
>
> Michael
>