A class for linear regression with many methods for corresponding values calculations
y
vector The orginial labels of observations in data
X
matrix The features of all observations in data
beta
vector The coefficients in the sample
y_hat
matrix The estimated labels
e_hat
matrix The standard errors between orginial and estimated labels
df
numeric The degree of freedom of data
var_resid
numeric The residual variance
var_hat
matrix The variance of the regression coefficients
t_val
vector The t-values for each coefficient
p_val
vector The p-values for each coefficient
formula
character The formula used in the model
data
data.frame The sample data
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