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
libavcodec
ios-contacts
client-certificates
surfaceview
standardized
jbase
discord
gtable
ticket-tracking
leptonica
google-cloud-stackdriver
petfinder
domready
azure-subscription
sgx
spring-integration-file
valdr
db2-express-c
splitinstallmanager
ardl
aws-global-accelerator
fetch-metadata
wallpaper
shared-memory
dynamic-frameworks
azure-logic-apps
urlhelper
docker-exec
webpackjsonp
twisted.internet