This article describes how to go from a Principal Component Analysis, Correspondence Analysis, t-SNE or another dimension reduction output:

To a saved component/dimension variable set:

## Requirements

- A dimension reduction output created in Displayr such as Principal Component Analysis, Correspondence Analysis, Multidimensional Scaling or t-SNE.

## Method

1. Select your dimension reduction output.

2. From the toolbar menu, select **Anything > Advanced Analysis > Dimension Reduction > Save Variable(s) > Components/Dimensions**.

A new variable set call 'Scores from dim.reduce' will be added to the top of your Data Sets tree where *dim.reduce* is the name of the dimension reduction output.

## Additional notes

For Principal Component Analysis (PCA), the correlation between these underlying variables and the individual variables used in the analysis are shown in the Rotated Component Matrix. This is *typically*, but not always, true. It can not be the case if there is missing data or if a non-standard method is used to compute create the saved variables.

## Next

How to Do Principal Component Analysis in Displayr

How to Create a Principal Component Analysis Biplot

How to Create a Dimension Reduction Scatterplot

How to Create a Component Plot from a Principal Component Analysis

How to Create a Goodness of Fit Plot from a Dimension Reduction Output

How to Create a Scree Plot from a Principal Component Analysis

How to Do Multidimensional Scaling

How to Create a Distance Matrix