rms (version 2.0-2)

residuals.ols: Residuals for ols

Description

Computes various residuals and measures of influence for a fit from ols.

Usage

## S3 method for class 'ols':
residuals(object, 
      type=c("ordinary", "score", "dfbeta", "dfbetas", 
             "dffit", "dffits", "hat", "hscore"), ...)

Arguments

object

object created by ols. Depending on type, you may have had to specify x=TRUE to ols.

type

type of residual desired. "ordinary" refers to the usual residual. "score" is the matrix of score residuals (contributions to first derivative of log likelihood). dfbeta and dfbetas mean respectively th

...

ignored

Value

• a matrix or vector, with places for observations that were originally deleted by ols held by NAs

concept

model validation

See Also

lm.influence, ols, which.influence

Examples

set.seed(1)
x1 <- rnorm(100)
x2 <- rnorm(100)
x1[1] <- 100
y <- x1 + x2 + rnorm(100)
f <- ols(y ~ x1 + x2, x=TRUE, y=TRUE)
resid(f, "dfbetas")
which.influence(f)