Prediction on highly dependent data

My dataset: a collection of monthly Snapshots of the same population. Highly dependent data. What pretending model, like regression, I could use on this data? Thanks

Hi @blackmantra,
Welcome to the KNIME Forum!
Unfortunately, with this little information I am not sure anyone will be able to give you advice. Do you mean the columns are dependent between each other (correlated), or the values of different snapshots are dependent on each other? Which value do you want to predict: the snapshot values for the next month? Is there are trend or seasonality in the data? Do you have only numeric features, or also categorical ones?
Kind regards,


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