Dear Christof,

You want the predict() function. See ?predict.lme for the details.

Best regards,

Thierry

PS Questions on lme() can be asked at r-sig-mixed models.

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and 
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
thierry.onkel...@inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more than 
asking him to perform a post-mortem examination: he may be able to say what the 
experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not ensure 
that a reasonable answer can be extracted from a given body of data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens 
Christof Kluß
Verzonden: woensdag 13 juni 2012 10:21
Aan: r-h...@stat.math.ethz.ch
Onderwerp: [R] lme: extract result-function

Hi,

mod <- lme(A ~ -1 + B+C+D+E+F+G, random = ~1 | ...)

results in summary(mod)$coeff

B C D E F G (Intercept)
b c d e f g i

Now I'm interested in the function

f <- function(B,C,D,E,F,G) <- {
  return(i + b*B + c*C + d*D + e*E + f*F + g*G) }

Is there a easier way to create such function with flexible number of 
coefficient, than do it by hand?

thx
Christof

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