lfit: Linear Fit

In sasLM: 'SAS' Linear Model

Linear Fit

Description

Fits a least squares linear model.

Usage

  lfit(x, y, eps=1e-8)

Arguments

x	a result of ModelMatrix
y	a column vector of the response (dependent) variable
eps	A value less than this is considered zero.

Details

A minimal version of the least squares fit of a linear model

Value

coefficients	beta coefficients
g2	g2 inverse
rank	rank of the model matrix
DFr	degrees of freedom for the residual
SSE	sum of squares error
SST	sum of squares total
DFr2	degrees of freedom of the residual for the beta coefficient

Author(s)

Kyun-Seop Bae [e-mail]

See Also

ModelMatrix

Examples

  f1 = uptake ~ Type*Treatment + conc
  x = ModelMatrix(f1, CO2)
  y = model.frame(f1, CO2)[,1]
  lfit(x, y)

sasLM documentation built on June 15, 2026, 9:07 a.m.