Hi Christophe,
A correct answer would depend on many parameters that are difficult to foresee a priori.
If you are talking about the number of calibration samples to get from the wild, my wild ass guess is that 4 is way too little since the wild method would not be able to use 4 points to compute the required number of variances, covariances and estimates reliably (it the method would run at all).
You could play with the examples in the package by reducing the sample size of the calibration dataset to see the effect.
That would not correspond to your situation because the data would differ but that could give you a good idea.
I hope others will reply too.
Best,
Alex