Dear all,
I have the following problem:
- I have written a program in R which runs out of physical memory
on my MacBook Pro with 1.5 GB RAM
- The memory usage is much higher then I would expect from the
actual data in my global environment
- When I save the workspace, quit R, restart
= ~y * z, lower = ~1))
Start: AIC= 23.55
x ~ y + z
...
Call:
lm(formula = x ~ 1)
Coefficients:
(Intercept)
-0.1972
detach(df)
Thanks for any help,
Klaus Thul
__
R-help@stat.math.ethz.ch mailing list
https
-building.
I am wondering, why REML is the default setting in NLME and therefore somehow
preferred by the authors. What is the main reason to use REML?
Maybe I am lacking here statistical knowledge. Any hint, including reference
to literature would be very helpful.
Best regards,
Klaus Thul
