Hi, I apologize in advance, most of my programming skills are self-taught, if there are any weird errors.

My goal with this code was to basically create a for-loop that iterates over every column in my data frame separately with the data frame so that by the end I have a independent output for each column.

But so far I have been unable to generate any output with my function neither plots or anything else.

I used the StateSpaceModels.jl as my example, but the best output I got so far was `SARIMA (generic function with 1 method)`

I now humble ask if there is any way I can fix this?

```
begin
function SARIMA(tsf::DataFrame, p::Int, d::Int, q::Int)
forecasts = Array{Float64, 3}(tsf.cols(2:22), 3)
for i = tsf.cols(2:22)
# SARIMA
steps_ahead = 30
model_sarima = SARIMA(tsf[i], order = (0,1,1), seasonal_order = (0, 1, 1, 4))
fit!(model_sarima)
forec_sarima = forecast(model_sarima, steps_ahead)
# Exponential Smoothing
model_ets = ExponentialSmoothing(tsf[i], trend = true, seasonal = 12)
fit!(model_ets)
forec_ets = forecast(model_ets, steps_ahead)
# Naive model
model_naive = SeasonalNaive(tsf[i], 12)
fit!(model_naive)
forec_naive = forecast(model_naive, steps_ahead)
plt_sarima = plot(model_sarima, forec_sarima, layout =(22,1),title = "SARIMA", label = "")
plt_ets = plot!(forec_ets, layout =(22,1), title = "Exponential smoothing", label = "")
plt_naive = plot!(forec_naive, layout =(22,1), title = "Seasonal Naive", label = "")
println(plt_naive)
end
end
end
```