NominalVariables
✖
NominalVariables
is an option for statistical functions such as LinearModelFit that specifies which variables should be treated as having discrete values specified by names.
Details

- Possible settings for NominalVariables include:
-
Automatic automaticaly detect nominal variables All treat all variables as nominal None treat no variables as nominal {v1,v2,…} treat the variables vi as nominal - When NominalVariables->Automatic, different methods are used to detect nominal variables. In functions returning FittedModel[…], variables with non-numeric data values are treated as nominal.
- In linear models, a nominal variable v with possible values s1, s2, … is represented as a collection of variables with values 1 or 0 corresponding to each case v==si.
Examples
open allclose allBasic Examples (1)Summary of the most common use cases

https://wolfram.com/xid/0gfuu03gasvq-i1novh
Fit the data, treating the first variable as a nominal variable:

https://wolfram.com/xid/0gfuu03gasvq-eo2qfz


https://wolfram.com/xid/0gfuu03gasvq-jn6rqi

Treat all variables as nominal:

https://wolfram.com/xid/0gfuu03gasvq-gds1vr

Scope (2)Survey of the scope of standard use cases
Automatically select nominal variables:

https://wolfram.com/xid/0gfuu03gasvq-f7rjkv


https://wolfram.com/xid/0gfuu03gasvq-e1wad7

Specify nominal variables in GeneralizedLinearModelFit:

https://wolfram.com/xid/0gfuu03gasvq-b2bdh8

With LogitModelFit:

https://wolfram.com/xid/0gfuu03gasvq-hn40zy

With ProbitModelFit:

https://wolfram.com/xid/0gfuu03gasvq-bgc13o

Applications (3)Sample problems that can be solved with this function

https://wolfram.com/xid/0gfuu03gasvq-r9q1z

https://wolfram.com/xid/0gfuu03gasvq-kwxz6j


https://wolfram.com/xid/0gfuu03gasvq-gorgtt

Compute the model estimates for the three groups:

https://wolfram.com/xid/0gfuu03gasvq-dh2t9f

Fit a two‐way ANOVA model with interaction term:

https://wolfram.com/xid/0gfuu03gasvq-jd10q4

https://wolfram.com/xid/0gfuu03gasvq-znued


https://wolfram.com/xid/0gfuu03gasvq-lfcqw

Compute estimates for each cell:

https://wolfram.com/xid/0gfuu03gasvq-hhirm7


https://wolfram.com/xid/0gfuu03gasvq-fl15jg


https://wolfram.com/xid/0gfuu03gasvq-fg5f53

https://wolfram.com/xid/0gfuu03gasvq-el6kt7

Visualize curves for the three x categories and label using Tooltip:

https://wolfram.com/xid/0gfuu03gasvq-b64ko5

Wolfram Research (2008), NominalVariables, Wolfram Language function, https://reference.wolfram.com/language/ref/NominalVariables.html (updated 2014).
Text
Wolfram Research (2008), NominalVariables, Wolfram Language function, https://reference.wolfram.com/language/ref/NominalVariables.html (updated 2014).
Wolfram Research (2008), NominalVariables, Wolfram Language function, https://reference.wolfram.com/language/ref/NominalVariables.html (updated 2014).
CMS
Wolfram Language. 2008. "NominalVariables." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2014. https://reference.wolfram.com/language/ref/NominalVariables.html.
Wolfram Language. 2008. "NominalVariables." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2014. https://reference.wolfram.com/language/ref/NominalVariables.html.
APA
Wolfram Language. (2008). NominalVariables. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/NominalVariables.html
Wolfram Language. (2008). NominalVariables. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/NominalVariables.html
BibTeX
@misc{reference.wolfram_2025_nominalvariables, author="Wolfram Research", title="{NominalVariables}", year="2014", howpublished="\url{https://reference.wolfram.com/language/ref/NominalVariables.html}", note=[Accessed: 30-April-2025
]}
BibLaTeX
@online{reference.wolfram_2025_nominalvariables, organization={Wolfram Research}, title={NominalVariables}, year={2014}, url={https://reference.wolfram.com/language/ref/NominalVariables.html}, note=[Accessed: 30-April-2025
]}