r - Caret Error Using Train: "Something is wrong; all the RMSE metric values are missing" -


i'm trying train neural network model using caret package in r , encountered error message regarding missing rmse metric values. has come across error before?

below sample of code , error message received: 

install.packages("caret") library(caret) ctrl <- traincontrol(method = "timeslice", initialwindow = 8000, horizon = 2000,                       fixedwindow = true)  install.packages("nnet") library(nnet) system.time({lmfiltered4 <- train(fgddatatavg2trainxd, fgddatatavg2trainy,                      method = "avnnet",                      size = 10,                       decay = 0.1,                      trcontrol = ctrl,                      preproc = c("center", "scale"),                      linout = true,                      trace = false,                      maxnwts = 10 * (ncol(fgddatatavg2trainxd) +1) + 10 + 1,                      maxit = 500)})   wrong; rmse metric values missing:       rmse        rsquared    min.   : na   min.   : na    1st qu.: na   1st qu.: na    median : na   median : na    mean   :nan   mean   :nan    3rd qu.: na   3rd qu.: na    max.   : na   max.   : na    na's   :9     na's   :9     error in train.default(fgddatatavg2trainxd, fgddatatavg2trainy, size = 10,  :    stopping in addition: warning message: in nominaltrainworkflow(x = x, y = y, wts = weights, info = traininfo,  :   there missing values in resampled performance measures. timing stopped at: 23461.03 69670.62 6671.223

try removing optional parameters , check. example remove "lineout"


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