Linear Regression in R – principal component regression in R Linear regression is a statistical method used to understand the relationship between a dependent variable (also known as the outcome or response variable) and one or more independent variables (also known as predictors or explanatory variables). In other words, it is used to predict the … Continue reading Linear Regression in R – principal component regression in R