## Introduction

This article describes how to create a Goodness-of-Fit Regression Plot.

## Requirements

- An R Output containing a principal components, multidimensional scaling, or t-SNE analysis.

## Method

- Go to the
**Anything**menu and select**Advanced Analysis > Regression > Diagnostics > Goodness-of-Fit.** - Go to the Inputs tab and select the appropriate model from the
**Dimension Reduction**menu. - OPTIONAL: Input the maximum number of points to plot into the
**Maximum Points**menu. If the object contains more data points, a random sample is taken.

## See Also

Goodness of Fit in MDS and t-SNE with Shepard Diagrams

How to Run Binary Logit Regression

How to Run a Generalized Linear Model

How to Run a Multinomial Logit Regression

How to Run NBD Regression in Displayr

How to Run Ordered Logit Regression

How to Run Quasi-Poisson Regression

How to Run a Stepwise Regression

How to Create Regression Multicollinearity Table (VIF)

How to Create a Prediction-Accuracy Table

How to Test Residual Heteroscedasticity of Regression Models

How to Save Predicted Values of Regression Models

How to Save Fitted Values of Regression Models

How to Save Probabilities of Each Response of Regression Models

How to Test Residual Normality (Shapiro-Wilk) of Regression Models

How to Test Residual Serial Correlation (Durbin-Watson) of Regression Models

How to Save Residuals of Regression Models

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