Multicollinearity madness

My independent variables are highly correlated
And coefficient standard errors consequently are inflated
The estimates' significance are downright understated
These results are making me totally frustrated

The R squared is high
But the t stats are all low
The reason for this we all know
It's multicollinearity madness
I've got multicollinearity madness

I guess I'll just have to wait 'til later
See if I can get a bit more data

Factor analysis is not my style
And ridge regressions are not worthwhile
There are no restrictions that I can use
Or regressors in the model that I could lose

The VIF is far too high
The tolerance is far to low
The reason for this we all know
It's multicollinearity madness
I've got multicollinearity madness

I guess I'll just have to wait 'til later
See if I can get a bit more data