linreg-class: A Reference Class to represent a linear regression package in...
In Philhoels/Lab4AdvR: Linear Regression Package

Listed functions are as methods in the object included:

- print() prints out the coefficients and coefficient names, similar as done by the lm class

- plot() plots the two plots using ggplot2

1. plot "Residuals vs Fitted" 2. plot "Scale<e2><88><92>Location"

- resid() returns the vector of residuals e

- pred() returns the predicted values y

- coef() returns the coefficients as a named vector.

- summary() returns a similar printout as printed for lm objects,

- but only presents the coefficients with their standard error,

- t-value and p-value as well as the estimate of <cf><83><cb><86> and the degrees of freedom in the model.

Nothing

X: the values of X as matrix
y: the values of y as matrix
regressions_coef: the regression coefficients, saved as matrix
fitted_values: the fitted values, saved as matrix
resi: the residuals, saved as matrix
n: the number of observations, saged as integer
p: the number of parameters in the model, saved as integer
dof: the degree of freedom, saved as integer
regressions_var: the variance of the regression coefficent, saved as matrix
resi_var: is the variance of residuals
t_value: is the t-value, saved as matrix
m_formula: is the formula
m_data: will return the name of the data