I'm new to R and trying to isolate the best performing features from a data set of 247 columns (246 variables + 1 outcome), and 800 or so rows (where each row i
staggered-gridview
vlfeat
database-cloning
linux
espn
android-sharesheet
android-market-filtering
data-transfer-objects
pseudo-class
handheld
createobject
ios-navigationview
character-set
dlclose
spark-ada
renderer
visitor-statistic
load-time-weaving
classloading
gnu-arm
dbm
powermock
wpf-animation
web-console
vlc-qt
thread-local
http-content-range
xbmc
sendira
sqlreportingservice