Log Message:
Update to 1.6.7

Upstream changes:
Changes in version 1.6-7

    fix some bug in handling weights in svm.default

Changes in version 1.6-6

    fix numeric issue in classAgreement()

    add functions from recommended packages to NAMESPACE

    fix bug in svm.default (incorrect handling of subset= argument)

    fix bug in predict.svm (new data with NA in response got removed)

    residuals are now correctly computed for regression in case of scaled data

Changes in version 1.6-5

    hamming.distance() no longer converts input to binary

    tune() now uses mean() to aggregate error measures from cross-fold replications

Changes in version 1.6-4

    remove library("SparseM") statements in code, use namespace \ 
semantics instead

    Fix memory leak and uninitialized read error in write.svm()

    add warning in predict.svm() if probabilities should be predicted, but the \ 
model was not trained with probability = TRUE

    add eps to laplace smoothing in predict.naiveBayes() to account for \ 
close-zero probabilities also.

    use R's random number generator for cross-validation and probability \ 
computation instead of the system one.

Changes in version 1.6-3

    remove require() statements and dependency on stats

Changes in version 1.6-2

    vignettes moved to vignettes folder.

    libsvm upgrade to version 3.17, getting rid of stdout and stderr