-p_nn = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", horizon=H)
-p_nn2 = computeForecast(data, ${list_indices[i]}, "Neighbors2", "Zero", horizon=H)
-p_az = computeForecast(data, ${list_indices[i]}, "Average", "Zero", horizon=H)
-p_pz = computeForecast(data, ${list_indices[i]}, "Persistence", "Zero", horizon=H, same_day=${'TRUE' if loop.index < 2 else 'FALSE'})
+p_n = computeForecast(data, ${list_indices[i]}, "Neighbors", "Zero", horizon=H,
+ simtype="mix", local=FALSE)
+p_l = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", horizon=H,
+ simtype="endo", local=TRUE)
+p_a = computeForecast(data, ${list_indices[i]}, "Average", "Zero", horizon=H)
+p_p = computeForecast(data, ${list_indices[i]}, "Persistence", "Zero", horizon=H,
+ same_day=${'TRUE' if loop.index < 2 else 'FALSE'})