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
broadleaf-commerce
jtessboxeditor
lowercase
cmsamplebuffer
automapper-10
ios8-today-widget
wgl
pgdb
mern
apo
google-one-tap
export-to-image
primary-key
elasticsearch-jest
wm-paint
ibm-cloud
elasticsearch-aggregation">elasticsearch-aggregation
react-native-fs
docker-command
meter
paintcomponent
google-app-maker
editorconfig
database-view
interactive-brokers
lampp
octet-stream
netcoreapp2.1
monit
react-bootstrap-typeahead