# residuals.ols

From rms v2.0-2
by Frank E Harrell Jr

##### Residuals for ols

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

.

- Keywords
- models, regression

##### 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`NA`

s

##### concept

model validation

##### See Also

##### 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)
```

*Documentation reproduced from package rms, version 2.0-2, License: GPL (>= 2)*

### Community examples

Looks like there are no examples yet.