linreg-class: Linear Regression

In stasinak/AdvPro4: Linear regression

Description

The package creates a new class called "Linreg".It consists in an alternative implemantation of the linear regression algorithm.

Fields

X

:matrix containing all the data.

Y

:vector containing response variable.

reg_coe

vector: Estimation of the regression coefficients.

fit_val

vector: Estimation of the Y values.

resid_e

vector:Estimation of the error variable.

n

numeric :Number of data.

p

numeric Number of variables.

df

numeric:Degrees of freedom.

resid_var

numeric:Estimates of the variance of the error variable.

var_beta

matrix:Estimates the variability of the beta coefficients.

t_val

vector:T-values for significance of coefficients.

formula:Linear

regression formula .

data:

Recieved data from user.

dname:Data

name.

stasinak/AdvPro4 documentation built on May 9, 2019, 7:40 a.m.