What it can do for your business

IBM SPSS Categories enables you to visualize and explore relationships in your data and predict outcomes based on your findings. It uses categorical regression procedures to predict the values of a nominal, ordinal or numerical outcome variable from a combination of numeric and ordered or unordered categorical predictor variables. The software features advanced techniques such as: predictive analysis, statistical learning, perceptual mapping and preference scaling.

This module is included in the SPSS Professional and Premium packages. It is available at an additional cost for the Base and Standard packages.

Interpret your multivariate data

Gain access to a variety of techniques to more easily analyze and interpret your multivariate data and its relationships. You are no longer restricted by categorical or highly dimensional data.

See underlying relationships

Use perceptual maps, biplots and triplots to go beyond the obvious associations.

Use nominal and ordinal data

Better understand both types of data by working with procedures similar to conventional regression, principal components and canonical correlation to predict outcomes and reveal relationships.

Visually interpret datasets

See how rows and columns relate in large tables of scores, counts, ratings, rankings or similarities.

Present your results clearly

Go beyond unwieldy tables to clearly see relationships in your data using revealing perceptual maps and biplots.

Add new regularization methods

Improve prediction accuracy with Ridge regression, the Lasso and the Elastic Net by stabilizing parameter estimates.

Product images

Output table that displays correspondence data
Output table that displays correspondence data
Output table that displays overview row points
Output table that displays overview row points
Output scatterplot graph that displays row points
Output scatterplot graph that displays row points
Linear Regression dependent and independent selection
Linear Regression dependent and independent selection
Linear Regression Plots settings
Linear Regression Plots settings
Linear Regression Save settings
Linear Regression Save settings

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