Calculating principal components

Reduce the dimensionality of multidimensional data using PCA.

  1. Select a cell in the dataset.
  2. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Multivariate, and then click Principal Components.
    The analysis task pane opens.
  3. In the Variables list, select the variables.
  4. Optional: To highlight the coefficients depending on their sign and magnitude, select the Color maps check box.
  5. Optional: To show a plot of the cumulative variance explained by each principal component, select the Scree plot check box.
  6. Click Calculate.
  7. To save the computed principal component scores back to the dataset for further analysis, on the Analyse-it ribbon tab, click Save Variable > Scores and select the number of dimensions to store.
Related reference