sasLM (version 0.9.2)

REG: Regression of Linear Least Square, similar to SAS PROC REG

Description

REG is similar to SAS PROC REG.

Usage

REG(Formula, Data, eps=1e-8, summarize=TRUE)

Value

The result is comparable to that of SAS PROC REG.

Estimate

point estimate of parameters, coefficients

Estimable

estimability: 1=TRUE, 0=FALSE. This appears only when at least one inestimability occurs.

Std. Error

standard error of the point estimate

t value

value for t distribution

Pr(>|t|)

probability of larger than absolute t value from t distribution with residual's degree of freedom

If summarize=FALSE, REG returns;

coeffcients

beta coefficients

g2

g2 inverse

rank

rank of the model matrix

DFr

degree of freedom for the residual

SSE

sum of square error

Arguments

Formula

a conventional formula for a linear model

Data

a data.frame to be analyzed

eps

Less than this value is considered as zero.

summarize

If this is FALSE, REG returns just lfit result.

Author

Kyun-Seop Bae [e-mail]

Details

It performs the core function of SAS PROC REG.

See Also

lr

Examples

  REG(uptake ~ Plant + Type + Treatment + conc, CO2)
  REG(uptake ~ conc, CO2, summarize=FALSE)