So shift the scale isn't really gonna help. The problem is that the x and y error are highly correlated (obviously as they both come from tsi) giving us matrices that are near-singular.
So three options present themselves - either use a precision (slow) matrix inversion, or rethink the problem to remove the inversion, or recode the swimming etc to use a less correlated parameterisation.
Humph.
So three options present themselves - either use a precision (slow) matrix inversion, or rethink the problem to remove the inversion, or recode the swimming etc to use a less correlated parameterisation.
Humph.
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