Nothing
Code
tail(as.data.frame(xpdb$data$data[[1]]))
Output
Gender Race_input BW_input CObs EObs Sex Race BW
1075 1 1 54.72186 1169.51934 1.7408351 1 1 54.72186
1076 1 1 54.72186 490.42748 1.8730132 1 1 54.72186
1077 1 1 54.72186 200.08794 1.3229599 1 1 54.72186
1078 1 1 54.72186 81.57001 1.2059497 1 1 54.72186
1079 1 1 54.72186 33.25298 0.8749192 1 1 54.72186
1080 1 1 54.72186 13.55596 0.9647105 1 1 54.72186
C EC50 E0 Emax ID IVAR TAD PRED IPRED
1075 1169.51934 118.8253 0.8202233 1.054604 99 1169.51934 0 1.97270 1.777560
1076 490.42748 118.8253 0.8202233 1.054604 99 490.42748 0 1.89139 1.669140
1077 200.08794 118.8253 0.8202233 1.054604 99 200.08794 0 1.75096 1.481890
1078 81.57001 118.8253 0.8202233 1.054604 99 81.57001 0 1.57667 1.249490
1079 33.25298 118.8253 0.8202233 1.054604 99 33.25298 0 1.42768 1.050820
1080 13.55596 118.8253 0.8202233 1.054604 99 13.55596 0 1.33573 0.928216
DV IRES PREDSE Weight IWRES WRES CWRES CdfDV
1075 1.7408351 -0.0367248 NA 0.316484 -0.205916 -0.6685710 -0.697078 0
1076 1.8730132 0.2038700 NA 0.358933 1.217350 0.4507630 0.539080 0
1077 1.3229599 -0.1589280 NA 0.455375 -1.068900 -1.6963200 -1.974600 0
1078 1.2059497 -0.0435453 NA 0.640517 -0.347346 -1.0589900 -1.222920 0
1079 0.8749192 -0.1759010 NA 0.905615 -1.668380 -1.7138700 -1.942930 0
1080 0.9647105 0.0364948 NA 1.160650 0.391866 0.0566903 0.538745 0
ObsName WhichDose WhichReset nE0 nEmax EVID
1075 EObs 0 0 0.04719402 -0.0927484 0
1076 EObs 0 0 0.04719402 -0.0927484 0
1077 EObs 0 0 0.04719402 -0.0927484 0
1078 EObs 0 0 0.04719402 -0.0927484 0
1079 EObs 0 0 0.04719402 -0.0927484 0
1080 EObs 0 0 0.04719402 -0.0927484 0
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