Hi all,

I am imputing missingness of  90 columns  in a  data frame using mice.
But "mice" gives back :

 Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE,  :   too many (1100) weights

Any idea to solve this error is welcome,

Anera
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