UseRs, I am trying to fit the following model > aa.lmer <- lmer(y ~ x + (1 | s), na.action=na.omit, family=binomial) where s is a length(x) by length(x) matrix and I get this error: Error in eval(expr, envir, enclos) : Ztl[[1]] must have 28392 columns I am wondering if it is possible to fit such a model in R. If so, I would very much appreciate some help because I have not found the way to do it. I pasted the sessionInfo() and subset of the data below. Thanks! Marc. > sessionInfo() R version 2.6.2 (2008-02-08) i386-pc-mingw32 locale: LC_COLLATE=English_United Kingdom.1252;LC_CTYPE=English_United Kingdom.1252;LC_MONETARY=English_United Kingdom.1252;LC_NUMERIC=C;LC_TIME=English_United Kingdom.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] lme4_0.99875-9 Matrix_0.999375-5 lattice_0.17-6 loaded via a namespace (and not attached): [1] grid_2.6.2 > y[1:20] [1] 103.41 100.85 101.92 101.23 100.54 98.44 98.81 100.98 99.54 98.07 [11] 100.16 98.30 99.37 97.35 104.17 99.68 100.88 102.50 97.59 99.36 > x[1:20] SJ1 SJ5 SJ7 SJ6 SJ8 SJ10 SJ2 SJ3 SJ4 SJ41 SJ42 SJ43 SJ44 SJ45 SJ47 SJ49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 SJ61 SJ62 SJ63 SJ64 0 0 0 0 Levels: 0 1 0 1 > s[1:20,1:20] 1 2 3 4 5 6 7 8 1 0.00000 13.241699 13.249062 12.99136 14.199208 13.324555 13.532248 0.00000 2 13.24170 0.000000 0.000000 12.88476 10.748524 10.221546 9.240796 13.25193 3 13.24906 0.000000 0.000000 12.89398 10.723805 10.198039 9.233696 13.25925 4 12.99136 12.884756 12.893975 0.00000 13.830869 13.575058 12.598779 12.96261 5 14.19921 10.748524 10.723805 13.83087 0.000000 9.643651 9.606385 14.21013 6 13.32456 10.221546 10.198039 13.57506 9.643651 0.000000 9.124417 13.33480 7 13.53225 9.240796 9.233696 12.59878 9.606385 9.124417 0.000000 13.54269 8 0.00000 13.251928 13.259249 12.96261 14.210126 13.334801 13.542685 0.00000 9 13.23149 0.000000 0.000000 12.87484 10.740265 10.213692 9.233696 13.24170 10 14.21013 10.748524 10.732026 13.80521 0.000000 9.651043 9.606385 14.22107 11 13.63282 10.172285 10.156671 13.36214 10.107247 10.254806 9.395230 13.60640 12 14.21013 10.748524 10.732026 13.80521 0.000000 9.651043 9.606385 14.22107 13 13.85213 9.871560 9.856408 13.65912 5.102928 9.117417 9.501395 13.86280 14 13.60640 7.769800 7.757856 13.85213 9.710241 8.845317 10.319362 13.61689 15 15.13622 15.781355 15.808655 15.56360 16.124228 15.551587 15.704903 15.14793 16 14.17199 10.773415 10.756802 13.87349 0.000000 9.673324 9.576125 14.18296 17 0.00000 13.241699 13.259249 13.00136 14.210126 13.334801 13.542685 0.00000 18 13.85213 9.871560 9.856408 13.65912 5.102928 9.117417 9.501395 13.86280 19 13.98567 10.607399 10.630146 13.53812 10.295630 9.848858 9.761755 13.96049 20 13.47427 10.180119 10.205857 12.90387 11.233577 10.007666 9.972809 13.48464 9 10 11 12 13 14 15 1 13.231493 14.210126 13.632822 14.210126 13.852131 13.606397 15.13622 2 0.000000 10.748524 10.172285 10.748524 9.871560 7.769800 15.78135 3 0.000000 10.732026 10.156671 10.732026 9.856408 7.757856 15.80866 4 12.874841 13.805206 13.362142 13.805206 13.659115 13.852131 15.56360 5 10.740265 0.000000 10.107247 0.000000 5.102928 9.710241 16.12423 6 10.213692 9.651043 10.254806 9.651043 9.117417 8.845317 15.55159 7 9.233696 9.606385 9.395230 9.606385 9.501395 10.319362 15.70490 8 13.241699 14.221070 13.606397 14.221070 13.862799 13.616892 15.14793 9 0.000000 10.740265 10.164469 10.740265 9.863975 7.763821 15.80115 10 10.740265 0.000000 10.107247 0.000000 5.102928 9.710241 16.10538 11 10.164469 10.107247 0.000000 10.107247 9.280727 10.646462 15.40063 12 10.740265 0.000000 10.107247 0.000000 5.102928 9.710241 16.10538 13 9.863975 5.102928 9.280727 5.102928 0.000000 8.498306 15.88453 14 7.763821 9.710241 10.646462 9.710241 8.498306 0.000000 15.31385 15 15.801154 16.105381 15.400626 16.105381 15.884533 15.313848 0.00000 16 10.765098 0.000000 10.138394 0.000000 5.118654 9.688263 16.11784 17 13.241699 14.221070 13.643321 14.221070 13.862799 13.616892 15.11453 18 9.863975 5.102928 9.280727 5.102928 0.000000 8.498306 15.88453 19 10.599249 10.303523 10.496128 10.303523 10.496128 10.833257 16.27972 20 10.172285 11.197501 10.646462 11.197501 11.107560 10.367924 15.55159 16 17 18 19 20 1 14.171995 0.00000 13.852131 13.985674 13.47427 2 10.773415 13.24170 9.871560 10.607399 10.18012 3 10.756802 13.25925 9.856408 10.630146 10.20586 4 13.873491 13.00136 13.659115 13.538119 12.90387 5 0.000000 14.21013 5.102928 10.295630 11.23358 6 9.673324 13.33480 9.117417 9.848858 10.00767 7 9.576125 13.54269 9.501395 9.761755 9.97281 8 14.182960 0.00000 13.862799 13.960494 13.48464 9 10.765098 13.24170 9.863975 10.599249 10.17229 10 0.000000 14.22107 5.102928 10.303523 11.19750 11 10.138394 13.64332 9.280727 10.496128 10.64646 12 0.000000 14.22107 5.102928 10.303523 11.19750 13 5.118654 13.86280 0.000000 10.496128 11.10756 14 9.688263 13.61689 8.498306 10.833257 10.36792 15 16.117842 15.11453 15.884533 16.279721 15.55159 16 0.000000 14.18296 5.118654 10.278480 11.22339 17 14.182960 0.00000 13.862799 13.996428 13.48464 18 5.118654 13.86280 0.000000 10.496128 11.10756 19 10.278480 13.99643 10.496128 0.000000 10.68526 20 11.223391 13.48464 11.107560 10.685263 0.00000