> big20.rcr <- lme(log(revenue)~year,random=~year|market)
> 
> summary(big20.rcr)
Linear mixed-effects model fit by REML
 Data: NULL 
       AIC       BIC  logLik
  -49.3766 -38.14940 30.6883

Random effects:
 Formula: ~year | market
 Structure: General positive-definite, Log-Cholesky parametrization
            StdDev     Corr  
(Intercept) 0.69275867 (Intr)
year        0.02800562 -0.173
Residual    0.05582862       

Fixed effects: log(revenue) ~ year 
               Value  Std.Error DF  t-value p-value
(Intercept) 7.095741 0.21949594 39 32.32744       0
year        0.065320 0.01046899 39  6.23939       0
 Correlation: 
     (Intr)
year -0.173

Standardized Within-Group Residuals:
        Min          Q1         Med          Q3         Max 
-1.46888229 -0.64408956  0.02028772  0.32538822  2.17286837 

Number of Observations: 50
Number of Groups: 10 
> 
> random.effects(big20.rcr)
    (Intercept)          year
2    0.06839075 -0.0225839642
3    0.17257281  0.0091886254
6    1.10490019 -0.0132366033
8    0.25520157  0.0311881118
19  -1.07023651 -0.0003365646
25  -0.14995496 -0.0137260740
31  -0.01721360  0.0378828448
42  -0.57770515  0.0212227820
95   0.96152897 -0.0270340122
108 -0.74748408 -0.0225651457