Josh Reich has created a “statistical learning web service” using R. The basic idea is that you can visit predict.i2pi.com and upload a data set (in CSV format). The only meta-information you provide is which variables in the data set are predictors, and which are responses. The service will then choose a statistical model, estimate it, and return predictions for the response variables for the model. You can leave some of the response values as NA — missing — to create a prediction set; rows with values will act as the training set.
Josh Reich has created a “statistical learning web service” using R. The basic idea is that you can visit predict.i2pi.com and upload a data set (in CSV format). The only meta-information you provide is which variables in the data set are predictors, and which are responses. The service will then choose a statistical model, estimate it, and return predictions for the response variables for the model. You can leave some of the response values as NA — missing — to create a prediction set; rows with values will act as the training set.