The QR decomposition is not a panacea. If the matrix of predictor
variables is ill-conditioned enough, some loss of precision can still
result. We might do well to regard centering as preventive medicine.
David Hoaglin
On Sun, Jan 20, 2013 at 7:01 PM, Jvverkuilen <jvverkuilen@gmail.com> wrote:
> Yes, from what I recall from scientific computing, the QR decomposition solves the numerical problems. It effectively centers and orthogonalizes the variables.
>
> Centering is really about interpretation now.
>
> --
> JVerkuilen, PhD
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