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."
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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