Thanks for the explanation !
Happy to know there is no problem with my models.
Have a good day,
Arnaud
2012/2/3 Simon Wood
> It is completely safe to ignore this. Here is what is going on...
>
> mgcv routine 'mroot' is calling R routine 'chol' to find the *pivoted*
> Choleski factor of a posit
It is completely safe to ignore this. Here is what is going on...
mgcv routine 'mroot' is calling R routine 'chol' to find the *pivoted*
Choleski factor of a positive semi definite matrix. This is deliberate,
and completely ok to do, but 'chol' issues a warning when a matrix is
only positive s
Dear list,
I fitted the same GAM model using directly the function gam(mgcv) ... then
as a parameter of another function that capture the warnings messages (see
below).
In the first case, there is no warning message printed, but in the last
one, the function find two warning messages stating "mat
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