By using this site, you agree to our updated Privacy Policy and our Terms of Use. Manage your Cookies Settings.
464,640 Members | 1,114 Online
Bytes IT Community
+ Ask a Question
Need help? Post your question and get tips & solutions from a community of 464,640 IT Pros & Developers. It's quick & easy.

Residual Sum of Squares routine, NumPy, SciPy, etc.

P: 10
I have a function produced by a model, lets call it f(x). I want to compare data that I have observed, (x0,y1), (x1,y1), etc. with an associated error of del(y0), del(y1), etc.

So I have the solution, I just want to figure out the residual sum of squares with a weight factor attached to it.

I was wondering if there was a routine that would allow me to use the parameters that I have above that would produce a residual sum of squares.

Currently I've been trying to use routines in NumPy and SciPy, but if there are any routines located outside of these packages that may be helpful, I'll gladly try them out.

Thank you very much.
Mar 9 '12 #1
Share this question for a faster answer!
Share on Google+

Post your reply

Sign in to post your reply or Sign up for a free account.