Platform: i386-pc-mingw32 (Windows XP) Program: R (1.6.1, 1 Nov 2002) Package: nls (1.6.1, 8 Nov 2002) Dear R Core Team, I believe there is a bug in logLik.nls because it counts model degrees of freedom incorrectly, misleading AIC. Consider the following example: my.lm <- lm(y~x) # simple linear regression my.nls <- nls(y~b0+b1*x, start=c(0,0)) # ditto logLik(my.lm) # returns `log Lik.' -290.5322 (df=3), correct logLik(my.nls) # returns `log Lik.' -290.5322 (df=1), incorrect AIC(my.lm) # returns 587.0645, correct AIC(my.nls) # returns 583.0645, incorrect It looks like the culprit is line 10 in logLik.nls: attr(val, "df") <- length(object[["parameters"]]) + 1 where object[["parameters"]] works in S-Plus but fails in R. This line could be replaced with something like: attr(val, "df") <- length(coef(object)) + 1 All the best, Arni