Does anyone have some info on how to do a seasonality decompose that takes in count multiple time series (TS)?

I know for a fact that it's possible to get a more general seasonality if you take in count multiple highly correlated TS but I can't find any info on it, as the word multiple gets interpreted as the multiplicative seasonality.

Any resources or even the python/R documentation will be useful