R for Beginners

Linear Regression in R using Partial Least Squared Regression

Linear Regression in R using Partial Least Squared Regression Linear regression is a statistical method that helps to understand the relationship between a dependent variable and one or more independent variables. It is represented by an equation in the form of Y = a + bX, where Y is the dependent variable, X is the …

Linear Regression in R using Principal Component Regression

Linear Regression in R using Principal Component Regression Linear regression is a statistical method that helps to understand the relationship between a dependent variable and one or more independent variables. It is represented by an equation in the form of Y = a + bX, where Y is the dependent variable, X is the independent …

Linear Regression in R using Stepwise Regression

Linear Regression in R using Stepwise Regression Linear Regression is a statistical method that helps to understand the relationship between a dependent variable and one or more independent variables. It is represented by an equation in the form of Y = a + bX, where Y is the dependent variable, X is the independent variable, …

Linear Regression in R using OLS Regression

Linear Regression in R using OLS Regression Linear regression is a statistical method that is used to predict a continuous outcome variable based on one or more predictor variables. In R, one way to perform linear regression is through OLS (Ordinary Least Squares) regression. The basic process for performing OLS regression in R is as …