Error in Variables Regression
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Fabrice Lambert
el 1 de Sept. de 2023
Editada: Fabrice Lambert
el 4 de Sept. de 2023
Hi. I'd like to perform a multilinear Error-in-Variables Regression, i.e. I have uncertainty in the predictors as well as in the dependent variable. This is sometimes also named Total Least Squares Regression. To my surprise, this is not part of the standard matlab functions as far as I can tell. Does anyone know if I missed something or if this (rather basic functionality I would say) is indeed not included with Matlab?
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Torsten
el 2 de Sept. de 2023
Editada: Torsten
el 2 de Sept. de 2023
Linear Total Least Squares Regression means minimizing the sum of distances of projections of your data on a linear subspace. This is usually accomplished by using "svd".
If you don't want to adapt "svd" according to your need, you can try the followig package:
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