lfit: Linear Fit

In sasLM: 'SAS' Linear Model

Linear Fit

Description

Fits a least square linear model.

Usage

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

Arguments

x	a result of ModelMatrix
y	a column vector of response, dependent variable
eps	Less than this value is considered as zero.

Details

Minimum version of least square fit of a linear model

Value

coeffcients	beta coefficients
g2	g2 inverse
rank	rank of the model matrix
DFr	degree of freedom for the residual
SSE	sum of squares error
SST	sum of squares total
DFr2	degree of freedom of the residual for 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 Oct. 2, 2024, 9:06 a.m.