- R-mode is used to study the covariate relationships (i.e., patterns of relationship among many dependent variables in a data set). In R-mode factor analysis:
- Loadings are loadings of variables on factors; a negative loading indicates a negative relation of the observed variable to the factor.
- A loading approaching zero indicates the given variable is unrelated to the factor.

The analysis output can include:

- Correlation Matrix of the Original Data
- Bartlett's test of sphericity
- Partial coefficient matrix (the measure of association between each pair of variables after removing any linear association between the pair and all other variables)
- Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy
- Reproduced and residual correlation matrices
- Loadings and communalities for extracted factors
- Varimax factor loadings
- R-mode factor scores

Example output from factor analysis of a dataset that is distributed with both full version and demo verion of the application: