initial version
updated for test version
added out of bag predictions
overhaul

* digits was removed from the argument list and the `…` are passed to
`format.data.frame`. However, if `…` does not contain `digits`, it is
set to the previous default of `min(3, getOption("digits") - 3)`
* the results data frame is now adjusted using `format.data.frame`. The
previous method was hand-made when I was young and foolish and didn't
work well with `knitr`.
* two preprocessing methods were added to the label generator
updated with new model and print.train info
no points in data! for knnImpute error solved
Remove conversions to data frames

For the input data `x`, we're not trying to respect the class of the
input value to accommodate other data types such as sparse matrices.

There are some complications though; for pre-processing we throw a
warning if the data are not simple matrices or data frames since there
is some infrastructure that does not exist for other classes( e.g.
`complete.cases`). We also throw a warning if `returnData <- TRUE` and
it cannot be converted to a data frame.
updated for new x data types
added verbose switch
updated to move test results outside of github path
fixed a bug in test case
decided not to put this model into the package

It depends on a second predictor matrix `z` which would be hard to pass
via `train`
added Rhistory and source tar ball
Initial version
initial version
Fixed a bug with the label for 1 predictor
updates and doc for string kernels
Merge pull request #34 from dolremi/issue33

solved no points in data! for knnImpute error
groups are changed by both shape and color now
removed library call for plyr