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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:

enter image description here

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).

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