lm() function in
R Language is a linear model function, used for linear regression analysis.
Syntax: lm(formula)
Parameters:
formula: model description, such as x ~ y
Example 1:
Python3
# R program to illustrate
# lm function
# Creating two vectors x and y
x <- c(rep(1:20))
y <- x * 2
# Calling lm() function to
# fit a linear model
f <- lm(x ~ y)
# Getting linear model
f
Output:
Call:
lm(formula = x ~ y)
Coefficients:
(Intercept) y
1.589e-15 5.000e-01
Example 2:
Python3
# R program to illustrate
# lm function
# Creating two vectors x and y
x <- c(2, 4, 6, 8)
y <- c(1, 3, 5, 7)
# Calling lm() function to
# fit a linear model
f <- lm(y ~ x)
# Getting linear model
f
Output:
Call:
lm(formula = y ~ x)
Coefficients:
(Intercept) x
-1 1