1. Start
Statistic tool R can be downloaded at http://www.r-project.org/
Other resources about Applied Linear Regression, 3rd Ed. can be found at http://www.stat.umn.edu/alr/R.html
After installing R, implementing


> install.packages("alr3", dependencies=TRUE)
to install "alr3" package. Then entering


> library(alr3)
to use it.
2. How to load data from Excel to R
(1) Load data from text to Excel.
(2) Save the Excel file as .cvs format. (choose "other format" after choosing "save as")
(3) In the "save as" window, click "save as type" menu and select "csv (comma delimited)".
(4) Proceed when seeing warning.
(5) Another warning of losing features, click "yes" to proceed.
(6) Open R and load .csv file:
Example:


biometrics <- read.csv("C:\\Documents and Settings\\joe\\Desktop\\biometrics.csv") #or simply use biometrics <- read.csv("~/../Desktop/biometrics.csv")
note: if not to put a header row in data, put "header = FALSE" as the second argument of "read.csv" command.
(7) Enjoy your data in R.