In this chapter, we have focused on the implementation of all libraries for handling optimization as well as regression data problems from the data frame indicated. The best illustration that is considered is to check the various parameters of the Glass Identification dataset where it includes various parameters of minerals for assessment, such as Na, Mg, and many more. We have listed some of the various packages that are available for reading in various kinds of attributes within the dataset mentioned in R. In the later sections, we covered the various correlation aspects that help to maintain linear regression analysis for the data frame indicated.
In the next chapter, we will cover how to build a roadmap for you to build on the skills you learned in this book. We will also cover how to gain further expertise in the field of data science with R.
