| | Name | Description |
|---|
 | PLS2CrossValidationWithJackknife |
Default constructor. Constructs a PLS2CrossValidationWithJackknife instance that uses
the "leave one out" cross validation and the Nipals algorithm. No scaling will be done and
full model coefficients will be used in the jackknife coefficient variance estimate
computation.
LeaveOneOutSubsets |
| PLS2CrossValidationWithJackknife(Boolean) |
Constructs a PLS2CrossValidationWithJackknife instance that uses
the "leave one out" cross validation and the Nipals algorithm.
full model coefficients will be used in the jackknife coefficient variance
estimate computation.
If true, the learning X data for each subset is scaled
by dividing each variable by its sample standard deviation. The prediction
data is scaled by the same amount. Note that this will impact performance.LeaveOneOutSubsets |
| PLS2CrossValidationWithJackknife(ICrossValidationSubsets) |
Constructs a PLS2CrossValidationWithJackknife instance which uses the given subset
generator and the Nipals algorithm.
|
| PLS2CrossValidationWithJackknife(ICrossValidationSubsets, Boolean) |
Constructs a PLS2CrossValidationWithJackknife instance which uses the given subset
generator and the Nipals algorithm. No scaling and full model coefficients
will be used in the jackknife coefficient variance estimate computation.
No scaling will be done and full model coefficients will be used in the
jackknife coefficient variance estimate computation.
|
| PLS2CrossValidationWithJackknife(IPLS2Calc, ICrossValidationSubsets) |
Constructs a PLS2CrossValidationWithJackknife instance which uses the given PLS calculator
and subset generator. No scaling will be done and
full model coefficients will be used in the jackknife coefficient variance estimate
computation.
|
| PLS2CrossValidationWithJackknife(ICrossValidationSubsets, Boolean, Boolean) |
Constructs a PLS2CrossValidationWithJackknife instance which uses the given subset
generator and the Nipals algorithm. No scaling and full model coefficients
will be used in the jackknife coefficient variance estimate computation.
No scaling will be done and full model coefficients will be used in the
jackknife coefficient variance estimate computation.
|
| PLS2CrossValidationWithJackknife(IPLS2Calc, ICrossValidationSubsets, Boolean) |
Constructs a PLS2CrossValidationWithJackknife instance which uses the given PLS calculator
and subset generator.
|
| PLS2CrossValidationWithJackknife(IPLS2Calc, ICrossValidationSubsets, Boolean, Boolean) |
Constructs a PLS2CrossValidationWithJackknife instance which uses the given PLS calculator
and subset generator.
|
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