-p_nn_exo = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", simtype="exo", horizon=H)
-p_nn_mix = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", simtype="mix", horizon=H)
-p_az = computeForecast(data, ${list_indices[i]}, "Average", "Zero", horizon=H) #, memory=183)
-p_pz = computeForecast(data, ${list_indices[i]}, "Persistence", "Zero", horizon=H, same_day=TRUE)
+p1 = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", horizon=H,
+ simtype="mix", local=FALSE)
+p2 = computeForecast(data, ${list_indices[i]}, "Neighbors", "Neighbors", horizon=H,
+ simtype="endo", local=TRUE)
+p3 = computeForecast(data, ${list_indices[i]}, "Neighbors", "Zero", horizon=H,
+ simtype="none", local=TRUE)
+p4 = computeForecast(data, ${list_indices[i]}, "Average", "Zero", horizon=H)
+p5 = computeForecast(data, ${list_indices[i]}, "Persistence", "Zero", horizon=H,
+ same_day=${'TRUE' if loop.index < 2 else 'FALSE'})