> On Jun 21, 2019, at 10:58 AM, Tom Woolman <twool...@ontargettek.com> wrote:
> 
> I am using R with the nnet package to perform a multinomial logistic 
> regression on a training dataset with ~5800 training dataset records and 45 
> predictor variables in that training data. Predictor variables were chosen as 
> a subset of all ~120 available variables based on PCA analysis. My target 
> variable is a factor with 10 items.
> All predictor variable are numeric (type "dbl").
> 
> My command in R is as follows:
> 
> model <- nnet:multinom(frmla, data = training_set, maxit = 1000, na.action = 
> na.omit)
> 
> #note that the frmla string is a value of "Target_Variable ~ v1 + v2 + v3, 
> etc."

Surely that is not its value. You should show the code that created the frmla 
object.

-- 
David.
> Output of this command is as follows (I will truncate to save a little space 
> after the first few rows):
> 
> # weights: 360 (308 variable)
> initial value 10912.909211
> 
> iter 10 value 9194.608309
> 
> iter 20 value 9142.608309
> 
> iter 30 value 9128.737991
> 
> iter 40 value 9093.899887
> .
> .
> .
> iter 420 value 8077.803755
> 
> final value 8077.800112
> converged
> Error in nnet:multinom(frmla, data = training_set, maxit = 1000, :
> NA/NaN argument
> 
> In addition: Warning message:
> 
> In nnet:multinom(frmla, data= training_set, maxit = 1000, :
> numerical expression has 26 elements: only the first used
> 
> So that's my issue. I can't figure out the meaning behind both the error 
> message and the warning message above. There are no NA values in my data set. 
> I've also tried reducing the number of predictor variables, but I get the 
> same issue (just a different number of iterations).
> 
> Thanks in advance.
> 
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.

David Winsemius
Alameda, CA, USA

'Any technology distinguishable from magic is insufficiently advanced.'   
-Gehm's Corollary to Clarke's Third Law

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