R help - Mar 2012 - How to interpret glmnet lasso error

I get an error when I try to use glmnet to fit a lasso model on some data.

My code:
> lasso <- glmnet(predictorPartitionTrainingM, targetPartitionTraining,
alpha=1)

The error that is returned:
Error in elnet(x, is.sparse, ix, jx, y, weights, offset, type.gaussian,  :
 NA/NaN/Inf in foreign function call (arg 5)

Some potentially important details:
- 50 predictor variables
- 300 observations
- everthing is numeric
- predictorPartitionTrainingM is a matrix
- targetPartitionTraining is a vector

Thanks in advance,
Ryan Zotti

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