title: Error : No suitable ARIMA model found using tso
body: <p>I am working on a model to forecast demand for a product and wanted to remove outliers from my time series. I came across the tso function and decided to give it a try. The initial results were encouraging and hence decided to pursue it. However, when I run it across all the different time series I often come across an error. Providing a description of the code and error below. </p>
  
  <p>Code:</p>
  
  <pre><code>data&lt;-c(2780,1580,2800,3320,4720,2860,3440,2940,3720,3360,3380,3160,2220,2560,3260, 3140,1920,3340,3060,1960,2800,1520,1920,1800,2100,2240,2300,1560,820,2160)
  
  dataTS&lt;-ts(data, frequency = 12)
  
  dataTS.out&lt;-tso(dataTS, tsmethod = "auto.arima", args.tsmethod = list(ic = "bic"), maxit = 5)
  </code></pre>
  
  <p><strong>Error Message</strong></p>
  
  <blockquote>
    <p>Error in auto.arima(x = c(2780, 1580, 2800, 3320, 4720, 2860, 3440, 2940,  : 
      No suitable ARIMA model found</p>
  </blockquote>
  
  <p>What am I doing wrong?</p>
  
  <p>Thanking in advance</p>