LinearRegression {Linnorm} | R Documentation

## One Pass Linear Regression.

### Description

This function performs Linear Regression on the input data with a one pass algorithm implemented in C++. This is for users who only need m and c from the y=mx + c equation. Compared to the lm function, this function is much faster.

### Usage

    LinearRegression(x, y)

### Arguments

`x` | Numeric vector. x values.
`y` | Numeric vector. corresponding y values.

### Details

This function calculates m and c in the linear equestion, y = mx + c.

### Value

This function returns a list with one object, "coefficients". The first element in this object is c; the second element is m in the y = mx + c equation.

### Examples

    x <- 1:10
    y <- 1:10
    results <- LinearRegression(x,y)
    m <- results$coefficients[[2]]
    c <- results$coefficients[[1]]

[Package Linnorm version 2.4.0 Index]