Dear R Mailinglist,

I want to understand how predictors are associated with a dependent
variable in a regression. I have 3 measurement points. I'm not interested
in understanding the associations of regressors and the predictor at each
measurement separately, instead I would like to use the whole sample in one
regression, "pooling" the measurement points.

I cannot simply throw them together, because the observations are not
independent.

Therefore, I think I need to add time as a regressor. How do I do this in
R? Google leads me to "time-series analysis" more often than not, but from
in other statistical programs and longitudinal research, the word
"time-series" is usually reserved for 5+ measurement points.

Thank you
T

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