How do I get RMARK to identify the correct number of occurrences in a PoissonMR model?

#1
I have the latest version of RMARK and MARK installed on my computer and the example code from https://rdrr.io/cran/RMark/man/PoissonMR.html runs perfectly. However, when I try to run the code using mock data that I have created I get an output that has "Not a number" where the values of the estimate, se and the confidence intervals should be for alpha, sigma, U etc. Another error message I keep getting is " Number of unmarked seen values specified > number of occacsions." I am working with a data set that has 6 occasions and 67 individuals, but RMARK doesn't run when I list 6 occurrences in the "unmakred seen" etc. sections. This was a camera trap study, so every individual was considered "marked" once a picture of them was recorded, therefore I don't have any "unmakred" individuals and I also don't know the number of known individuals in the population. Every individual was identified.
This is my code
mock.proc=process.data(PoissonMR,model="PoissonMR",
counts=list("Unmarked Seen"=c(0,0,0,0,0,0),
"Marked Unidentified"=c(0,0,0,0,0,0),
"Known Marks"=c(0,0,0,0,0,0)))
mock.ddl=make.design.data(cats.mock.proc)
mock.mod=mark(mock.proc,mock.ddl,
model.parameters=list(Phi=list(formula=~1,link="sin"),
GammaDoublePrime=list(formula=~1,share=TRUE,link="sin"),
alpha=list(formula=~-1+time,link="log"),
U=list(formula=~-1+time,link="log"),
sigma=list(formula=~-1+time,link="log")),
threads=2)
Does anyone know what might be causing this?
I've also attached my data as a csv.