I am really having trouble with getting the right syntax for my  
model.  Here is a truncated version of my data:

 > data
     Ind Treatment Order      Date        PC1
1 PER14        SC   3rd  4-May-09  0.5704611
2 PER14        SH   1st 26-Apr-09  0.5329025
3 PER14        AC   2nd 29-Apr-09  2.1392279
4 PER25        SC   2nd 29-Apr-09 -0.2083382
5 PER25        SH   3rd  3-May-09  3.7818356
6 PER25        AC   1st 26-Apr-09 -1.9689733
7 PER30        SC   1st 24-Apr-09 -0.1255970
8 PER30        SH   2nd 27-Apr-09  2.1474393
9 PER30        AC   3rd 30-Apr-09 -1.8683396

 > str(data)
'data.frame':	9 obs. of  5 variables:
  $ Ind      : Factor w/ 3 levels "PER14","PER25",..: 1 1 1 2 2 2 3 3 3
  $ Treatment: Factor w/ 3 levels "AC","SC","SH": 2 3 1 2 3 1 2 3 1
  $ Order    : Factor w/ 3 levels "1st","2nd","3rd": 3 1 2 2 3 1 1 2 3
  $ Date     : Factor w/ 7 levels "24-Apr-09","26-Apr-09",..: 7 2 4 4  
5 2 1 3 6
  $ PC1      : num  0.57 0.533 2.139 -0.208 3.782 ...

 > factor(Order, ordered=TRUE)
[1] 3rd 1st 2nd 2nd 3rd 1st 1st 2nd 3rd
Levels: 1st < 2nd < 3rd

 > factor(Date,ordered=TRUE)
[1] 4-May-09  26-Apr-09 29-Apr-09 29-Apr-09 3-May-09  26-Apr-09 24- 
Apr-09 27-Apr-09 30-Apr-09
Levels: 24-Apr-09 < 26-Apr-09 < 27-Apr-09 < 29-Apr-09 < 3-May-09 < 30- 
Apr-09 < 4-May-09

"Ind" are different individuals in the study, each of which received  
three "Treatment"s (SC, SH, and AC). The "Order" (ordered=TRUE) in  
which each individual received a treatment was systematically  
shuffled in the study, and the "Date" (ordered=TRUE) is simply when  
each treatment was completed.  The response variable are scores from  
a principal components analysis ("PC1").

So I want to run a model where "PC1" is the response variable and  
"Ind" is nested within "Treatment", and I also want to include  
"Order" and "Date" as random factors.

I have been struggling to describe the model with aov, lm, lme, and  
lmer, and don't think I'm getting the syntax right.  Suggestions?

Thanks for your time and consideration,
-Jeff


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