Plot>>>3D plot

 

3D plot Submenu

[PLS-loadings][PLS-partial weights][PCA-loadings][PCA-scores]

 

All the commands in this submenu start a 3D plot application. Follow this link for a full description of its options and commands.

Notice that this is a "tear-off menu", if you click on the dotted line on top of the menu you will transform the submenu in an independent window which will remain open until you specifically close it. This allows a fast access to the plots and is particularly useful when you plan to open many plots at the same time.

 


 

Plot>>>3D plot>>>PLS-loadings

Plot>>>3D plot>>>PLS-partial weights

 

First, the User is prompted to choose the component which will be represented in the X, Y and Z axis.

 

3d-plot Dialog I

 

It is possible to highlight single variable blocks by plotting in red the symbol for the variables of this block. The number which appear by the side of the check boxes correspond to the number of the variable block defined in File>>>Type of variables>>>Modify.

 

When the dialog window shows the desired settings press the OK button and the 3D plot will be displayed. Press the Cancel button to abort the command.

 

Both options plot variables in a three-dimensional space, using the PLS-loadings or PLS-partial weights vectors obtained from PLS models.

 

 


 

Plot>>>3D plot>>>PCA-loadings

Plot>>>3D plot>>>PCA-scores

 

First, the User is prompted to choose the component which will be represented in the X, Y and Z axes.

 

3d-plot Dialog II

 

In the PCA-loadings command it is possible to highlight single variable blocks by plotting in red the symbol for the variables of this block. The number which appear by the side of the check boxes corresponds to the number of the variable block defined in File>>>Type of variables>>>Modify.

 

When the dialog window shows the desired settings press the OK button and the 3D-plot will be displayed. Press the Cancel button to abort the command.

 

PCA-loadings

Plot variables in a three dimensional space using the loading vectors obtained from the PCA model.

 

PCA-scores

Plot objects in a three dimensional space using the score vectors obtained from the PCA model.

 

PCA 3D scores

 

If the PCA model has ever been used to produce external predictions using the command Utilities>>PCA-predictions, the dialog will show a control asking if we want to show the result of the predictions in the plot. If this control is selected, the plot will contains some additional points representing the objects in the external set, usually colored in red, at the positions corresponding to their predicted scores.