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I have a GNU Octave script that performs multivariate linear regression.
I need the script modified.
The error function algorithm for regression is normally:
1. actual - predicted, then square
2. sum all the individual errors
3. divide sum by number of observations
4. take square root
Your Octave code that does this looks someting like this:
SSerr = actual - predicted
I have read that it is possible, and potentially useful, to perform regression using other ...