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2007 May 25
0
Help with complex lme model fit
...Ident (~ X6 - 1), pdIdent (~ X7 - 1), pdIdent(~ rand_mat -1))), data = gpdat) Which should recover the variance components: var_label var_est rand_mat_scalar 0.00021983 X6_scalar 0.62314002 X7_scalar 0.03853604 as recovered by GenStat and used to generate the dataset. Instead I get: X6 0.6231819 X7 0.05221481 rand_mat 1.377596e-11 However, If I change or drop either of X5 or X6. I then get much closer estimates to what is expected. For example: mod2 <- lme...