search for: reg2a

I am having an issue with lmer that I wonder if someone could explain. I am trying to fit a mixed effects model to a set of longitudinal data over a set of individual subjects: (fm1 <- lmer(x ~ time + (time|ID),aa)) I quite often find that the correlation between the random effects is 1.0: Linear mixed model fit by REML Formula: x ~ time + (time | ID) Data: aa AIC BIC logLik deviance

...CK: swc1 $f[[REG3]], 0($[[REG4]]) > -; CHECK: .end f1 > - > -} > - > -; Function Attrs: nounwind > -define void @d1() #0 { > -entry: > - store double 1.234567e+00, double* @de, align 8 > -; CHECK: .ent d1 > -; CHECK: lui $[[REG1a:[0-9]+]], 16371 > -; CHECK: ori $[[REG2a:[0-9]+]], $[[REG1a]], 49353 > -; CHECK: lui $[[REG1b:[0-9]+]], 21403 > -; CHECK: ori $[[REG2b:[0-9]+]], $[[REG1b]], 34951 > -; CHECK: mtc1 $[[REG2b]], $f[[REG3b:[0-9]+]] > -; CHECK: mtc1 $[[REG2a]], $f[[REG3a:[0-9]+]] > -; CHECK: sdc1 $f[[REG3b]], 0(${{[0-9]+}}) > -; CHECK: .end d...