Hi,
I am trying to run a panel regression where I have a matrix of observations
and a matrix of independant variables - examples would trying to predict
countries's GDP with their data on education, FDI, tax rates, over time.
For the purpose of simplicity, my data would be:
dep = matrix(rnorm(50),ncol=5)
indep1 = matrix(rnorm(50),ncol=5)
indep2 = matrix(rnorm(50),ncol=5)
>From what I could find, the lme{nlme} function would be the function.
However, after I installed the package and I type in:
> lme(dep~indep1, indep2)
Error in model.frame.default(formula = ~indep1 + dep, data =
c(-0.63665929869261, :
'data' must be a data.frame, not a matrix or an array
I keep getting error messages even after I transform the data in a data
frame. Any idea on how I could get R to perform a simple panel regression?
Thanks!
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