regression_fit: regression_fit

In dclarkboucher/MLR: Multiple Linear Regression

Description

Fits multiple linear regression model using ordinary least squares

Usage

regression_fit(formula, data, alpha = 0.05)

Arguments

formula	an object of class "formula" or one that can be coerced by as.formula
data	an object of class "data.frame" or one that can be coerced by as.data.frame.
alpha	an optional argument indicating significance level of confidence intervals. If not provided, 0.05 is used.

Value

A list containing model details, estimated coefficients, confidence intervals, fitted values, residuals, variance-covariance matrix, ANOVA test results, and R-squared.

Examples

data(mtcars)
mlr_output <- regression_fit(formula = mpg ~ wt + hp + wt:hp, data = mtcars)

mlr_coefficients <- mlr_output$coefficients
wt_estimate <- mlr_coefficients["wt","Estimate"]

mlr_residuals <- mlr_output$residuals
mlr_vcov <- mlr_output$variances

dclarkboucher/MLR documentation built on Dec. 31, 2020, 11:14 p.m.