*Warning messages:  *appear after dredging global model in MMI and
requesting model selection table

dd(global model)<-dredge(global model) - runs OK

dd(global model)

* 1: In x[i] <- value[[j]] :
  number of items to replace is not a multiple of replacement length*

Also at model averaging stage I get this warning

top.models4_global model<-get.models(ddglobal model, subset = delta <= 4,
method="REML") - runs OK

model.avg(top.models4_global model)

*Warning message:**
In m.resp[-1] == m.resp[[1]] :
  longer object length is not a multiple of shorter object length

*
I've checked length() names() str() of data - everything looks OK. I have no
missing values.
e.g of data from str() below:

'data.frame':   51 obs. of  5 variables:
 $ BRYOSR      : num  7 13 10 3 13 8 4 4 7 10 ...
 $ CANCOV      : num  16.7 36.7 78.4 20 81.7 93.4 43.4 88.4 30 81.7 ...
 $ SRTTOTCWD   : num  0 0 0.4 0 0 0.1 0 0.3 0 0.3 ...
 $ WELLN       : num  3.3 2.4 3.9 3.4 3.6 4.8 4.8 4.6 4.5 3.9 ...
 $ SiteDISTWOOD: num  800 1001 100 400 1001 ...

Model I'm running is GAM with only one smoother on a continous variable
(that has non linear relationship with response and 2 interactions and is
Poisson distributed (response is count data).

Can someone please suggest what else this may be indicating about my data.

Thanks,

Karen

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