I'm new here, nice to meet you As English is not my native language, I apologise if I'm not always clear, please don't hesitate to ask me to repeat in that case.

There is a question I would like to ask you :

Suppose I have a statistical series corresponding to the different values of a variable through time. I have some missing values in this series, and I would like to estimate these values.

Now, I have a second series corresponding to a second variable. This one is complete (I have all of the wanted values). This variable is strongly correlated to the first one (R² close to 1, p-value<0.001).

Is it possible that I estimate the missing data of the first variable thanks to the data corresponding to the other variable ?

I should specify that although those two variables are very correlated, I can't really assume that one explains the other (so, I can't use linear regression, unless I'm wrong).

I hope that my question is clear and I thank you in advance.