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Level IV

How to fit with a constrained fit coefficient


I have data that I would like to fit to 2 columns, X and Y, such that the model is

DataX = 1*X + k*Y +constant solving for the K and contacts.  Actually I am really interested in the residuals between DataX (measured) position and the design X.  The problem is related to a coordinate system matching.

I see how to constrain slope in a single variable fit, but how do I do it with a multi-variable problem?

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