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...dellogis), newdata=data.frame(x=x0), interval = "confidence") BUt it does not work: I get the same initial confidence interval Any ideas on how to get tconfidence and prediction intervals using new X data on a previous model? Thanks Francisco ---------------------- Francisco Mora Ardila Estudiante de Doctorado Centro de Investigaciones en Ecosistemas Universidad Nacional Aut?noma de M?xico

...var1] <- fitted1 + sample(scale(resid1, scale = FALSE), : objeto de tipo 'environment' no es subconjunto I?ve tried with another response variable and other self starting function (SSlogis) and got the same error. Any suggestions? Francisco ---------------------- Francisco Mora Ardila Estudiante de Doctorado Centro de Investigaciones en Ecosistemas Universidad Nacional Aut?noma de M?xico

...nFactor, the step factor reduces also and I can never reach a solution. Does anybody Know what am I doing wrong? Is there a problem with the formula? How can I solve it? I tried some suggestions on R-help related topics but did not work. Thanks Francisco ---------------------- Francisco Mora Ardila Estudiante de Doctorado Centro de Investigaciones en Ecosistemas Universidad Nacional Aut?noma de M?xico

...;= 0) } out/permutations } But a problem arised with the predict function: it doesn?t seem to work with an object from dudi.mix and I dont understand why. Can somebody tell me why? Any suggestions to modify the script or to use other method? Thanks in advance. Francisco Francisco Mora Ardila Laboratorio de Biodiversidad y Funcionamiento del Ecosistema Centro de Investigaciones en Ecosistemas UNAM-Campus Morelia Tel 3222777 ext. 42621 Morelia , MIchoac?n, M?xico. -- Open WebMail Project (http://openwebmail.org)

...e 'environment' is not a subset (this last part traduced from spanish) I?ve tryed other functions, even without self starters but it does not work. Then it seems to be there something in the data, but I don?t know what. Any suggestions? Francisco ---------------------- Francisco Mora Ardila Estudiante de Doctorado Centro de Investigaciones en Ecosistemas Universidad Nacional Aut?noma de M?xico

Hi, I would like to fit a linear model where some but not all explanators are chosen stepwise - ie I definitely want to include some terms, but others only if they are deemed significant (by AIC or whatever other approach is available). For example if I wanted to definitely include x1 and x2, but only include z1 and z2 if they are significant, something like this: df <-