Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET
  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Nuget packages
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Nuget packages
    • Configuration
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Data Access Library User's Guide
    • Reference
  • Reference
    • Extreme
    • Extreme.Collections
    • Extreme.Data
    • Extreme.Data.Json
    • Extreme.Data.Matlab
    • Extreme.Data.R
    • Extreme.Data.Stata
    • Extreme.Data.Text
    • Extreme.DataAnalysis
    • Extreme.DataAnalysis.Linq
    • Extreme.DataAnalysis.Models
    • Extreme.Mathematics
    • Extreme.Mathematics.Algorithms
    • Extreme.Mathematics.Calculus
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
    • Extreme.Mathematics.Curves
    • Extreme.Mathematics.Curves.Nonlinear
    • Extreme.Mathematics.Distributed
    • Extreme.Mathematics.EquationSolvers
    • Extreme.Mathematics.Generic
    • Extreme.Mathematics.LinearAlgebra
    • Extreme.Mathematics.LinearAlgebra.Implementation
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
    • Extreme.Mathematics.Optimization
    • Extreme.Mathematics.Optimization.LineSearches
    • Extreme.Mathematics.Random
    • Extreme.Mathematics.SignalProcessing
    • Extreme.Providers
    • Extreme.Providers.InteropServices
    • Extreme.Statistics
    • Extreme.Statistics.Distributions
    • Extreme.Statistics.Multivariate
    • Extreme.Statistics.Tests
    • Extreme.Statistics.TimeSeriesAnalysis
  • Extreme.Statistics.Multivariate
    • DendrogramNode Class
    • DistanceMeasures Class
    • Factor Class
    • FactorAnalysis Class
    • FactorCountMethod Enumeration
    • FactorExtractionMethod Enumeration
    • FactorMethod Enumeration
    • FactorRotationMethod Enumeration
    • FactorScoreMethod Enumeration
    • HierarchicalCluster Class
    • HierarchicalClusterAnalysis Class
    • HierarchicalClusterCollection Class
    • KMeansCluster Class
    • KMeansClusterAnalysis Class
    • KMeansInitializationMethod Enumeration
    • LinearDiscriminantAnalysis Class
    • LinearDiscriminantFunction Class
    • LinkageMethod Enumeration
    • PartialLeastSquaresMethod Enumeration
    • PartialLeastSquaresModel Class
    • PrincipalComponent Class
    • PrincipalComponentAnalysis Class
    • PrincipalComponentCollection Class
    • ScalingMethod Enumeration
    • SimilarityMatrix Class
  • PartialLeastSquaresModel Class
    • PartialLeastSquaresModel Constructors
    • Properties
    • Methods
  • Properties
    • Coefficients Property
    • DependentVariables Property
    • IndependentVariables Property
    • Intercepts Property
    • Method Property
    • NumberOfComponents Property
    • PredictedValues Property
    • StandardizedCoefficients Property
    • VariableImportanceInProjection Property
    • WeightMatrix Property
    • XCumulativeVarianceExplained Property
    • XDistanceToModel Property
    • XLoadings Property
    • XResiduals Property
    • XScalingMethod Property
    • XScores Property
    • XVarianceExplained Property
    • YCumulativeVarianceExplained Property
    • YDistanceToModel Property
    • YLoadings Property
    • YResiduals Property
    • YScalingMethod Property
    • YScores Property
    • YVarianceExplained Property
  • YLoadings Property

PartialLeastSquaresModelYLoadings Property

Extreme Optimization Numerical Libraries for .NET Professional
Gets the scores matrix of the dependent variables.

Namespace:  Extreme.Statistics.Multivariate
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax
C#
VB
C++
F#
Copy
public Matrix<double> YLoadings { get; }
Public ReadOnly Property YLoadings As Matrix(Of Double)
	Get
public:
property Matrix<double>^ YLoadings {
	Matrix<double>^ get ();
}
member YLoadings : Matrix<float> with get

Property Value

Type: MatrixDouble
See Also

Reference

PartialLeastSquaresModel Class
Extreme.Statistics.Multivariate Namespace

Copyright (c) 2004-2021 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2021, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.