R: Fit a Linear Model

ols.fit-methods {fastmatrix} | R Documentation

## Fit a Linear Model

### Description

Fits a linear model, returning the bare minimum computations.

### Usage

    ols.fit.chol(x, y)
    ols.fit.qr(x, y)
    ols.fit.svd(x, y)
    ols.fit.sweep(x, y)

### Arguments

`x, y` | numeric vectors or matrices for the predictors and the response in a linear model. Typically, but not necessarily, `x` will be constructed by one of the fitting functions.

### Value

The bare bones of an `ols` object: the coefficients, residuals, fitted values, and some information used by `summary.ols`.

### See Also

`ols`, `lm`

### Examples

    set.seed(151)
    n <- 100
    p <- 2
    x <- matrix(rnorm(n * p), n, p) # no intercept!
    y <- rnorm(n)
    z <- ols.fit.chol(x, y)
    z

[Package fastmatrix version 0.2-3571 Index]