When running a regression for driver analysis, each respondent is treated as one observation for the regression modeling. Many times you may ask the same question across many brands to the same respondent, and you don't care about what the driver is for an individual brand, but rather what drives the respondents' overall outcome. To do this, you need to treat the response for each respondent-brand pair as an observation rather than each respondent, which means you need to stack the data. This article describes how to perform driver analysis using data for multiple brands at the same time by stacking the data:

## Requirements

- A driver analysis model, see How to Do Driver Analysis
- An
*Outcome*variable set structured as - A
*Predictor(s)*need to be a single

## Method

- Select your driver analysis regression model on the
**Page.** - From the
**object inspector,**tick the box for**Inputs > Stack data.** - Select the variable sets for
**Outcome**and**Predictors**based on requirements above. - Click
**Calculate**.

## Next

How to Select the Regression Type for Driver Analysis

How To Automatically Remove Outliers from Regression and GLMs

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