prediction_errors: Function working as testbench for comparison of Prediction...
In ForecastTB: Test Bench for the Comparison of Forecast Methods

Function working as testbench for comparison of Prediction methods

prediction_errors(
  data,
  nval,
  ePara,
  ePara_name,
  Method,
  MethodName,
  strats,
  dval,
  append_
)

`data`	as input time series for testing
`nval`	as an integer to decide number of values to predict
`ePara`	as type of error calculation (RMSE and MAE are default), add an error parameter of your choice in the following manner: ePara = c("errorparametername") where errorparametername is should be a source/function which returns desired error set
`ePara_name`	as list of names of error parameters passed in order
`Method`	as the list of locations of function for the proposed prediction method (should be recursive) (default:arima)
`MethodName`	as list of names for function for the proposed prediction method in order
`strats`	as list of forecasting strategies. Available : recursive and dirrec
`dval`	as last d values of the data to be used for forecasting
`append_`	suggests if the function is used to append to another instance