I'm messing around with some of R's forecast capabilities and wanted to ensemble a few forecasts together. Using the forecast package, I did a number of univariate forecasts and now want to ensemble them using a weighting scheme. I like the approach taken by the ForecastCombinations combinations package, but can't seem to reproduce anything outside of the example in `?Forecast_comb` 

Anyone have suggestions for this or have a better strategy for using an existing R package to weight the ensemble together.

Here was one attempt that obviously doesn't work.

```
y1 = rnorm(100)
fit1 = auto.arima(y1)
fit2 = ets(y1)
#fit3 = ma(y1, order=3)
forc1 = forecast(fit1, n=10)$mean
forc2 = forecast(fit2, n=10)$mean
#forc3 = forecast(fit3, n=10)$mean
forc_all = cbind(forc1,forc2)
forc_all = forc_all
forc_all

example0[[i]] <- Forecast_comb(obs = y1 ,
                               fhat = as.matrix(forc_all), Averaging_scheme = "best")

```

Thanks