Holt-Winters method doesn't work with certain data

Hi all,

I want to ask you if somebody could tell me why my code with Holt-Winters calculation doesn't work.
I use this code for different countries and it works fine but for one country it doesn't work correctly.
I've never used R before so, I'm not sure what is wrong. Please could somebody help?

Below is my code.
It takes data from csv file and creates 3 new files.
But when I use data below the code, it creates only 2 files (SMA and Seasonality)
I've added picture of code error as well

Loading Packages
ipak <- function(pkg){
  
      new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
  
      if (length(new.pkg)) 
 
      install.packages(new.pkg, dependencies = TRUE) 
      sapply(pkg, require, character.only = TRUE)
  
  }
 
packages <- c("Rcpp","tseries","quadprog","fracdiff","colorspace","zoo","timeDate","timeSeries","forecast","TTR","xts")
ipak(packages)



#Country Models
#================================================================================
ie<-read.csv(file="Y:\\Bayes\\1903\\In\\ie.csv", head=TRUE, sep=",")

ietimeseries<-ts(ie,frequency=12, start=c(2017,1))
ietimeseries

ietimeseriesforecasts <-HoltWinters(ietimeseries)
ietimeseriesforecasts

ietimeseriesforecast2 <-forecast:::forecast.HoltWinters(ietimeseriesforecasts, h=24)
write.csv(ietimeseriesforecast2,"Y:\\Bayes\\1903\\Out\\ie_1903FX.csv")

ietimeseriescomponent <-decompose(ietimeseries)
ietimeseriescomponent
ietimeseriesseasonaladjusted <- ietimeseries - ietimeseriescomponent$seasonal

ieLevelSMA3 <-SMA(ietimeseriesseasonaladjusted, n=3)

write.csv(ieLevelSMA3,"Y:\\Bayes\\1903\\Out\\ie_1903_SMA_Level.csv")

write.csv(ietimeseriescomponent$seasonal, "Y:\\Bayes\\1903\\Out\\ie_1903Seasonality.csv")


#------------------------------------------------------------------------------------------------------------------------

Input data:
46.76
54.12
55.2
52.42
54.69
50.59
52.32
52.54
50.32
46.5
55.71
52.74
54.64
53.7
53.15
65.85
61.13
51.07
60.66
52.25
61.95
63.82
66.24
45.66
58.22
58.44
52.2
59.29

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