Vector with n elements containing the studentized residuals from
a regression model

**
Data Types: **`single| double`

Specify optional comma-separated pairs of `Name,Value`

arguments.
`Name`

is the argument name and `Value`

is the corresponding value. `Name`

must appear
inside single quotes (`' '`

).
You can specify several name and value pair arguments in any order as ```
Name1,Value1,...,NameN,ValueN
```

.

**Example:
**```
'conflev',0.99
```

,```
'intercept',false
```

,```
'nsimul',300
```

,```
'X',randn(n,3)
```

,```
'plots',1
```

,```
'h',h1 where h1=subplot(2,1,1)
```

,

95, 0.975 0.99 (individual alpha)
or 1-0.05/n, 1-0.025/n, 1-0.01/n (simultaneous alpha).

Default value is 0.90

**Example: **```
'conflev',0.99
```

**Data Types: **`double`

Indicator for the constant term (intercept) in the fit,
specified as the comma-separated pair consisting of
'Intercept' and either true to include or false to remove
the constant term from the model.

**Example: **```
'intercept',false
```

**Data Types: **`boolean`

The
default value is 1000.

**Example: **```
'nsimul',300
```

**Data Types: **`double`

Data matrix of explanatory
variables (also called 'regressors')
of dimension (n x p-1). Rows of X represent observations, and
columns represent variables. This is the matrix which has
been used to produce stdentized residuals.

If this optional argument is
missing we take as matrix X the column of ones.

**Example: **```
'X',randn(n,3)
```

**Data Types: **`double`

If plots = 1, a plot which shows the
robust the qqplot of residuals with envelopes is shown on the
screen. The confidence level which is used to draw the
horizontal lines associated with the bands for the
residuals is specified in input option conflev. If
conflev is missing a nominal 0.90 confidence interval will
be used.

**Example: **```
'plots',1
```

**Data Types: **`double`

**Example: **```
'h',h1 where h1=subplot(2,1,1)
```

**Data Types: **`Axes object (supplied as a scalar)`

The default is to use tag 'pl_qq'. Notice
that if the program finds a plot which has a tag equal
to the one specified by the user, then the output of
the new plot overwrites the existing one in the same
window else a new window is created

**Example: **```
```

'tag','mytag'

**Data Types: **`char`