Some problem with conditional prediction and nsample

[miguel-porto]

Hello,
The example of conditional predictions in the manual on page 46 does not run in this line

predValCond[,i,j] <- predict(model, newdata=fungiValTmp,
	conditional=condSp, nsample=nsamp)[,i]

because the predictions come in a 3 dimensional array. The third dimension has the predictions for each sample of nsample. However, this somewhat confuses me because in the help of the function, the returning value is said to be

A matrix with the predicted values for each species at the sites in ‘newdata’ or a matrix of the same dimension as the fitted values.

This does not mention that predictions will be returned for each sample in nsample. On the other hand, the example of page 46 is written assuming that only one set of predictions is returned, regardless of nsample.
So, afterall, where is the problem, is it in function predict.hmsc() or in the example of page 46?

EDIT: (note that the example in help(predict.hmsc) does not run for the same reason)
All the best,
Miguel