Linear Regression in R
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Last Updated on August 15, 2020
In this post you will discover 4 recipes for linear regression for the R platform.
You can copy and paste the recipes in this post to make a jump-start on your own problem or to learn and practice with linear regression in R.
Kick-start your project with my new book Machine Learning Mastery With R, including step-by-step tutorials and the R source code files for all examples.
Let’s get started.
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Ordinary Least Squares Regression
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Each example in this post uses the longley dataset provided in the datasets package that comes with R. The longley dataset describes 7 economic variables observed from 1947 to 1962 used to predict the number of people employed yearly.
Ordinary Least Squares Regression
Ordinary Least Squares (OLS) regression is a linear model that seeks to find a set of coefficients for a line/hyper-plane that minimise the sum of the squared errors.