# How can I use a prediction model (e.g., ARMA model or LSTM) for multi-variate data?

I have had a dataset below:

             sensor1   sensor2  sensor3 ...
2021-01-01    1.32       2.2      1.0
2021-01-02    4.3        2.0      0.8 ...
...


I know ARMA models are useful for time-series forecasting:

However, how can I use an ARMA model for data with multiple attributes?

If data with a single attribute can be an input for an ARMA model, should I aggregate the attribute set? (For example, after normalizing each attribute, I add up all values in every row to transform all the attributes to a single attribute).