What is Multinomial Logistic Regression?

Multinomial logistic regression is used when we have a categorical dependent variable with more than two categories. In R, we can perform multinomial logistic regression using the multinom() function from the nnet package.

• Multinomial logistic regression is a type of regression analysis used to predict the nominal or categorical dependent variable with two or more levels. 
• the multinom() function from the nnet package can be used to perform multinomial logistic regression.

In this article, we will learn about Multinomial Logistic Regression which can be used when we have more than two categories in the target column. Let’s first start with a little bit brief explanation about the multinomial logistic regression and after this we will move on to the code implementation part by using different packages which are available in R.