In zahrajalilpour292/assignment4: Mutlpile Regression

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## importing our package 
library(lab4)

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Main tasks for the lab 4

• Create a repository on git and configure it with travis ci.
• Calculate the multiple regression coefficients and predicted output.
• Create a RC class object having name linreg.
• We have used the simple algebra for calculations.
• Implemented the methods for the RC class.
• Added unit test for the package.
• theme for the package is optional.

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Methods of linreg class

1. print()
2. summary()
3. resid()
4. coef()
5. plot()
6. pred()

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Object creation and using dataset iris

# creating the object of linreg
linreg_mod <- linreg(Petal.Length~Sepal.Width+Sepal.Length, data=iris)

# call the print methond as follow
linreg_mod$print()

zahrajalilpour292/assignment4 documentation built on Oct. 10, 2020, 6:59 a.m.