[R] Fixed Effects in lme function

[li li]

 Dear all,
    For the data below, I would like to fit a model with common random
slope and  common random intercept as shown below. I am interested in
obtaining
separate fixed effect estimates (intercept and slope and corresponding
hypothesis test)
for each method. Instead of performing the analysis method by method, can I
use the syntax as below, specifically, the part "fixed = response ~
method/time"?
    I know this is legitimate specification if there is no random effects
involved.
   Thanks so much in advance!
      Hanna

lme(fixed= response ~ method/time, random=~ 1+time | lot, data=dat,
weights= varIdent(form=~1|method),   control = lmeControl(opt = "optim"),
na.action = na.exclude)



  response individual time method
1    102.9          3    0      3
2    103.0          3    3      3
3    103.0          3    6      3
4    102.8          3    9      3
5    102.2          3   12      3
6    102.5          3   15      3
7    103.0          3   18      3
8    102.0          3   24      3
9    102.8          1    0      3
10   102.7          1    3      3
11   103.0          1    6      3
12   102.2          1    9      3
13   103.0          1   12      3
14   102.8          1   15      3
15   102.8          1   18      3
16   102.9          1   24      3
17   102.2          2    0      3
18   102.6          2    3      3
19   103.4          2    6      3
20   102.3          2    9      3
21   101.3          2   12      3
22   102.1          2   15      3
23   102.1          2   18      3
24   102.2          2   24      3
25   102.7          4    0      3
26   102.3          4    3      3
27   102.6          4    6      3
28   102.7          4    9      3
29   102.8          4   12      3
30   102.5          5    0      3
31   102.4          5    3      3
32   102.1          5    6      3
33   102.3          6    0      3
34   102.3          6    3      3
35   101.9          7    0      3
36   102.0          7    3      3
37   107.4          3    0      1
38   101.3          3   12      1
39    92.8          3   15      1
40    73.7          3   18      1
41   104.7          3   24      1
42    92.6          1    0      1
43   101.9          1   12      1
44   106.3          1   15      1
45   104.1          1   18      1
46    95.6          1   24      1
47    79.8          2    0      1
48    89.7          2   12      1
49    97.0          2   15      1
50   108.4          2   18      1
51   103.5          2   24      1
52    96.4          4    0      1
53    89.3          4   12      1
54   112.6          5    0      1
55    93.3          6    0      1
56    99.6          7    0      1
57   109.5          3    0      2
58    98.5          3   12      2
59   103.5          3   24      2
60   113.5          1    0      2
61    94.5          1   12      2
62    88.5          1   24      2
63    99.5          2    0      2
64    97.5          2   12      2
65    98.5          2   24      2
66   103.5          4    0      2
67    89.5          5    0      2
68    87.5          6    0      2
69    82.5          7    0      2

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