# Some options

When creating a new OAT sampler object, the following options are available:

- **sampling mode**: determines how the modified factor's new values are selected inside the interval 
$\left[ nominal-\frac{range}{2}; nominal+\frac{range}{2} \right]$. It can be either:

    - **regular:** an even number of new values and the nominal value are regularly distributed 
    along the interval.

    - **lhs**, **srs** or **random:** the new values are randomly chosen inside the interval using a 
    Latin Hypercube Sampling ("lhs") or a Standard Random Sampling ("srs" and "random") (cf. 
    {numref}`sampler_srs_and_lhs_plot`). The sample's distribution is given by the type of the 
    attribute representing the factor (cf. [](#dataserver_attribute_introducing_tstochastic_attribute)).

- **number of modifications:** the number of new values taken by a modified factor. It must be 
greater or equal to 2. If the sampling mode is "regular" and the given number $M$ is odd, the actual 
number of modifications will be $M-1$.

In the example of [](#sampler_oat_toatdesign_simple_oat), we used the default options for the OAT 
sampler, namely:

- sampling mode: regular;
		
- number of modifications: 2.
          
In the next examples, we present the results of choosing different options.