multivariate_linear_regression {LearnSL} | R Documentation |
Multivariate Linear Regression
Description
Calculates and plots the linear regression of a given set of values. Being all of them independent values but one, which is the dependent value. It provides information about the process and intermediate values used to calculate the line equation.
Usage
multivariate_linear_regression(data, details = FALSE, waiting = TRUE)
Arguments
data |
x*y data frame with already classified observations. Each column represents a parameter of the values (independent variable). The last column represents the classification value (dependent variable). Each row is a different observation. |
details |
Boolean value. If it is set to "TRUE" multiple clarifications and explanations are printed along the code |
waiting |
If TRUE while |
Value
List containing a list for each independent variable, each one contains, the variable name, the intercept and the slope.
Author(s)
VĂctor Amador Padilla, victor.amador@edu.uah.es
Examples
# example code
multivariate_linear_regression(db1rl)