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I'm trying to analyze some data(I get data daily) in R and predict as accurately as I can what will happen in the future. I'm hoping I can predict a few months ahead, but anything that works well will be appreciated.

I have data from Jan 22 till the current day. There are around 10-15 variables that are connected closely, and while I'm looking to only predict one variable, the other variables might be of help in determining a more accurate prediction.

To sum up, I'm looking for an algorithm that accurately predicts data a couple of months ahead, with testing data of about 4 1/2 months, while taking into account other variables. It should look at the relationship between all variables and predict what the value of the said variable (or all variables) should be.

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  • $\begingroup$ As a general problem, it completely depends on whether the patterns in the data make it possible to predict 2 months ahead. If there is too much variation with no regularity, this is impossible. Please give more detail about the kind of data you have. $\endgroup$ – Erwan Jun 16 at 15:39

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