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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