SAGA 9.9.1 | Tool Library Documentation

Multiple Linear Regression Analysis (Shapes)


Description

Multiple linear regression analysis using ordinary least squares.


Parameters

 NameTypeIdentifierDescriptionConstraints
InputShapesshapes, inputTABLE--
OutputResultsshapes, output, optionalRESULTS--
Details: Coefficientstable, output, optionalINFO_COEFF--
Details: Modeltable, output, optionalINFO_MODEL--
Details: Stepstable, output, optionalINFO_STEPS--
OptionsDependent Variabletable fieldDEPENDENT--
MethodchoiceMETHOD-Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3
Significance Levelfloating point numberP_VALUESignificance level (aka p-value) as threshold for automated predictor selection, given as percentageMinimum: 0.000000 Maximum: 100.000000 Default: 5.000000
Cross ValidationchoiceCROSSVAL-Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0
Cross Validation Subsamplesinteger numberCROSSVAL_Knumber of subsamples for k-fold cross validationMinimum: 2 Default: 10

Command Line


Usage: saga_cmd statistics_regression 13 [-TABLE ] [-RESULTS ] [-DEPENDENT ] [-INFO_COEFF ] [-INFO_MODEL ] [-INFO_STEPS ] [-METHOD ] [-P_VALUE ] [-CROSSVAL ] [-CROSSVAL_K ]
  -TABLE:        Shapes
	shapes, input
  -RESULTS:      Results
	shapes, output, optional
  -DEPENDENT:    Dependent Variable
	table field
  -INFO_COEFF:   Details: Coefficients
	table, output, optional
  -INFO_MODEL:   Details: Model
	table, output, optional
  -INFO_STEPS:   Details: Steps
	table, output, optional
  -METHOD:
                      Method
                      	choice
                      	Available Choices:
                      	[0] include all
                      	[1] forward
                      	[2] backward
                      	[3] stepwise
                      	Default: 3
  -P_VALUE:
                      Significance Level
                      	floating point number
                      	Minimum: 0.000000
                      	Maximum: 100.000000
                      	Default: 5.000000
  -CROSSVAL:
                      Cross Validation
                      	choice
                      	Available Choices:
                      	[0] none
                      	[1] leave one out
                      	[2] 2-fold
                      	[3] k-fold
                      	Default: 0
  -CROSSVAL_K:   Cross Validation Subsamples
	integer number
	Minimum: 2
	Default: 10