Draws lines from each point to the plane created by the x and z variables that you selected on the launch window.
Changes the size of normal contour ellipsoids. Type a value between 0 and 1, where the greater the value creates a bigger the ellipsoid. The actual values “0” and “1” produce no ellipsoid, so a warning appears if you try to use those values.
Biplot rays are displayed by default. You can remove them by selecting Biplot Rays from the red triangle menu. For details about principal components, see the Multivariate Methods book.
Calculates principal components (as with the Principal Components option) but scales the principal component scores to have unit variance. If this option is not selected, the scores have variance equal to the corresponding eigenvalue.
For details, see the Multivariate Methods book.
For details, see the Multivariate Methods book.
Saves all rotated component scores as columns in the current data table. These columns also include the formulas that were used. If you requested n rotated components, then n rotated component columns are created and named Rot1, Rot2, ... Rotn.
Coverage changes the portion of data points covered by the ellipsoid. The larger the value, the bigger the ellipsoid.
Transparency changes the surface of the ellipsoid from transparent to opaque. The larger the value, the more opaque the ellipsoid.
You display and remove normal contour ellipsoids by selecting and deselecting Normal Contour Ellipsoids from the red triangle menu.
The examples in this section use the Iris.jmp sample data table, which includes measurements of sepal length, sepal width, petal length, and petal width for three species of iris.
Related Information 
Related Information 
The Density Contour Controls Window
Density level represents the volume and density of the points. As the contours go from smaller to larger values, the contours cover less volume but more dense areas. A 0.9 contour represents the 10% densest part of the total, where the points are closest together. Click and drag the slider below “Contour Quantile,” or enter a value next to the slider.
Transparency changes the surface of density contours. The greater the value, the more opaque the contour. Enter a value in the box.
Color changes the color of the contour. Click the colored box and select a different color. (This option only appears for ungrouped density contours.)
To remove points from a 3D scatterplot, select Show Points from the red triangle menu. You can further optimize the contours by changing their size, color, and transparency. See Descriptions of the Scatterplot 3D Options for details.
Example of Optimizing a Dense Nonparametric Density Contour
Note: This option requires the Coloring role.
To customize properties such as the marker size, text size, and grid lines, right-click the 3D scatterplot and select Settings. The Settings window appears. As you modify the settings, a preview appears on the 3D scatterplot.
The Scatterplot 3D Settings Window