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One advantage of using latent variables is that it [[Dimensionality reduction|reduces the dimensionality]] of data. A large number of observable variables can be aggregated to represent an underlying concept, making it easier for humans to understand the data. In this sense, they serve the same function as theories in general do in science. At the same time, latent variables are link observable ("sub-symbolic") data in the real world, to symbolic data in the modeled world.
==See also
* [[Latent variable model]] {{econ-stub}}
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