[R] Using LME for Hierarchical Linear Modelling

[Magill, Brett]

I am an R newbie trying to use LME for HLM.  I have a number of individual
variables (Ind) nested within neighborhoods, for which I have a number of
characteristics (Ngb).  I want to model the simultaneous effects of the Ngb
characteristics and Ind predictors on an outcome, X.  The data is in a data
frame that looks something like this (using made up values for example)...

Ngb#	Ngb1	Ngb2...Ind1	Ind2...OutcomeX
1	.10	.05	 0	2	 46
1	.10	.05	 1	5	 47
1	.10	.05	 1	4	 46
2	.12	.07	 0	3	 44
2	.12	.07	 1	6	 44
2	.12	.07	 0	7	 48
3	.14	.04	 1	4	 45 
3	.14	.04	 1	2	 42
3	.14	.04	 0	3	 46


In addition to the typical regression results  (Coefficients, SE, R^2), I
want to see the individual level error variance and the neighborhood level
error variance.  In all, I have about 5 neighborhood level variables and
perhaps 8-10 individual level variables.  Can somone tell me how I would
specify this model in R using LME to get the info that I want?

Thanks Four Your Help

Brett Magill
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