by David J. Lilja and Greta M. Linse
all-data.csv (287 KB)
read-data.R (2 KB)
Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language. All of the necessary resources are freely available online.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Publication Date: 2022
Lilja, David J; Linse, Greta M. (2022). Linear Regression Using R: An Introduction to Data Modeling, 2nd Edition. University of Minnesota Libraries Publishing. Retrieved from the University of Minnesota Digital Conservancy, https://hdl.handle.net/11299/189222.