Display
Name
|
Variable
Name
|
I/O
and
Type
|
Default
Value
|
Description
|
| Independent Variables
|
ix
|
Input
Range
|
<active>
|
Specify the input data for independent variables. Note that beginning with Origin 2020b, there is a shortened syntax that follows the form [Book]Sheet!(N1:N2), N1 = the beginning column index and N2 being the ending column index in a contiguous range of columns. More complex strings from non-contiguous data of the form [Book]Sheet!([Book]Sheet!N1:N2,[Book]Sheet!N3:N4) are also possible.
|
| Dependent Variables
|
iy
|
Input
Range
|
<unassigned>
|
Specify the input data for dependent variables.
|
| Observation Labels
|
label
|
Input
Range
|
<optional>
|
Specify the input data of label for observation, the labels will be show in the Score Plots and X-Y Scores Plots in result.
|
| Predict Responses
|
predict
|
Input
int
|
0
|
Determine whether to predict response from the established partial least square model.
|
| Independent Variables for Prediction
|
irng
|
Input
Range
|
<optional>
|
This variable can only be accessed when predict is set to 1. It specifies independent variables for prediction.
|
| Method
|
method
|
Input
int
|
1
|
Specify the method to compute the extracted factors:
Option list:
- svd:SVD{0}
- wold:Wold's Iteration{1}
You can refer to the Algorithm for Partial Least Squares Method in Origin Help file.
|
| Scale Variables
|
scale
|
Input
int
|
1
|
Specify whether to divide independent variables by the standard deviation.
|
| Maximum Number of Factors
|
factor
|
Input
int
|
0
|
Specify the maximum number of factors to be in the regression model
|
| Cross Validation
|
cv
|
Input
int
|
0
|
Specify whether to establish the partial least square regression model using the Cross Validation method.
|
| Quantities
|
output
|
Input
TreeNode
|
|
Specify which quantities to compute and output. Set the value for output.subnode to control the settings. Details on each sub nodes can be found in the Origin Help file
Sub nodes are:
- stat:Descriptive Statistics
- coeff:Coefficients
- stdcoeff:Standardized Coefficients
- xpcv:Percent Variance Explained for Each X
- ypcv:Percent Variance Explained for Each Y
- vip:VIP (variable influence on projections statistics)
- load:Loadings
- score:Scores
- ypred:Predicted Response for Training Data
- res:Residuals
- dist:Distance
- t2:T Square for X Scores
- xw:X Weights
|
| Plots
|
plot
|
Input
TreeNode
|
|
Specify whether to show plots in the PLSn sheet. Set the value for plot.subnode to control the settings. Details on each sub nodes can be found in the Origin Help file
- coeff:Coefficients Plot
- vip:Variance Importance Plot
- xfactor:Component Plot-Factor for X Axis
- yfactor:Component Plot-Factor for Y Axis
- zfactor:Component Plot-Factor for Z Axis
- xload:Component Plot-X Loading Plot
- yload:Component Plot-Y Loading Plot
- xscore:Component Plot-X Score Plot
- yscoreComponent Plot-Y Score Plot
- xyscore:Component Plot-X-Y Score Plot
- res:Diagnostics Plot
- dist:Distance Plot
- t2:T Square Plot
|
| Partial Least Squares Report
|
rt
|
Output
ReportTree
|
<new>
|
Specify the output range for the partial least squares report.
|
| Report Data (Fitted Results)
|
rdres
|
Output
ReportData
|
<new>
|
Specify the output range for the options selected in the output tree node.
|
| Report Data (Loadings and X Weights)
|
rdload
|
Output
ReportData
|
<new>
|
Specify the output range for the loading values and the X weights.
|
| Report Data (Scores and Residuals)
|
rdscore
|
Output
ReportData
|
<new>
|
Specify the output range for the score values and the residual values.
|
| Plot Data
|
rdplot
|
Output
ReportData
|
<new>
|
Specify the output range to put the data for the plot.
|