ar(1)

I have what I believe is a relatively straightforward problem.  I am trying to move from SAS to R and have coded the following successfully in R:

proc mixed;
class name run exam;
model y= a b c/s;
random name;
random run(name);
run;

as ...  mod<-lme(y ~ a + b + c, random=~1|name/run, na.action=na.omit)

However, when trying to introduce a correlation structure in SAS by altering the 2nd random statement to  random run(name)/type=ar(1), differences then appear.  I've tried coding this in R:

e2<-lme(y ~ a + b + c, random=~1|name/run, correlation=corAR1(form=~1|name/run), na.action=na.omit)

and the model runs fine, however the results are very different to what seems sensible to me and what SAS gives.  I have attached the data if anyone wants to have a play with it, but I suspect it's my coding that's at fault.  I've been using Pinheiro and Bates to get this far, but seem to have hit a wall here.

Any help would be much appreciated,

Paul