# Best Suitable feature selection method for ordinal logistic regression

I have 33 variables my dataset, I need to omit some less significant features then, which is the "best suitable feature selection method " for the Ordinal Logistic Regression?

•  library(caret) mydata <- data.frame(y = c(1,0,0,0,1,1), x1 = c(1,1,0,1,0,0), x2 = c(1,1,1,0,0,1), x3 = c(1,0,1,1,0,0)) fit <- glm(y~x1+x2+x3,data=mydata,family=binomial()) summary(fit) varImp(fit, scale = FALSE)  referring to link – Amr Tarek Elmzayen Feb 21 '19 at 8:55