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2006 Mar 17
1
nlme predict with se?
...1.00 1 AksToKa > kew11.nlme$call nlme.formula(model = lw ~ SSasympOff(ageyr2, mw, lgr, age0), data = kew, fixed = list(mw + lgr + age0 ~ Season * MBreed + ecoreg + ecoreg:Season), random = list(farm = list(mw ~ 1, lgr ~ 1), sheep = list(mw ~ 1)), start = c(fixef (kew8.nlme)[1:15], 0, 0, 0, 0, 0, 0, 0, 0, 0, fixef(kew8.nlme)[16:30], 0, 0, 0, 0, 0, 0, 0, 0, 0, fixef(kew8.nlme)[31:45], 0, 0, 0, 0, 0, 0, 0, 0, 0), correlation = corSymm()) > levels(kew$Season)==levels(x.for.lw.pred$Season) [1] TRUE TRUE TRUE TRUE > kew[1:10,] Gr...