Error -20116 finding quadradic fit

[nanocyte]

Here's the error:

Error -20116 occurred at Bad Regression.vi

Possible reason(s):

Analysis:  Feasible solution not found.

Here's my code:

Here's my XY data:

7280	1.22858E+7			
7312	1.25469E+7			
7344	1.25722E+7			
7376	1.21155E+7			
7408	1.13621E+7			

I noticed that if I scale down the Y, everything works out OK which tells me maybe I need to normalize my data some how. Is there some standard data prep and unprep for regressions like this?

[altenbach]

Why are you using bisquare?

The constant term is 1 but x^2 is >10^14, making the problem ill conditioned. The matrix elements differ by >10^14 so there are not enough bits to sort it out. 

[altenbach]

Sorry, I take that back because you have x and y swapped (mislabeled!). Your x is 7280-7480, i.e. a small relative range. You get better results if you e.g. subtract the mean from x, for example. No scaling needed.

[altenbach]

Try this.

[nanocyte]

Sorry about the mislabel. Good catch! I guess I was asking more generally. I'm pretty sure for any given dataset, I can find some manipulation that helps it fit but is there a general way to preprocess your data before fitting?