lmCorolla <- function(columns, train){
model = lm(Price~., data=train[,columns])
return (model)
}
#columns <- dataCorolla()$columns
#train <- dataCorolla()$train
#test <- dataCorolla()$test
#lm <- lmCorolla(columns, train)
#predict(lm, test)
#rmse(test$Price, predict(lm, test)) #1209.073
# Dane surowe
#columns <- dataCorolla(raw="true")$columns
#train <- dataCorolla(raw="true")$train
#test <- dataCorolla(raw="true")$test
#lm <- lmCorolla(columns, train)
#predict(lm, test)
#RMSE(test$Price, predict(lm, test)) #1207.097
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