搜索资源列表
scshuju2
- 最小二乘法和主成分回归法对同一数据进行分析，比较其优缺点
press
- 这是计算偏最小二乘法和主成分回归方法的PRESS值的程序,只要输入矩阵就能得到最佳的因子数
Pls_tool-tem.rar
- pls算法工具箱。偏最小二乘回归≈多元线性回归分析＋典型相关分析＋主成分分析 ,pls algorithm toolbox. Partial least-squares regression ≈ multiple linear regression analysis, canonical correlation analysis++ Principal component analysis
duoyuan
- 多元线性回归模型，结合主成分分析原理，完美的运用matlab编程-Multiple linear regression model, combined with principal component analysis theory, the perfect use of matlab programming! !
source
- 主成分分析与主成分回归 Principal Component Analysis and Regression-Principal component analysis and principal component regression Principal Component Analysis and Regression
Matlab
- 模拟退火算法实现、主成分分析实现及线性回归分析等-Simulated annealing algorithm implementation, implementation of principal component analysis and linear regression analysis
RegrToolbox
- 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
pls
- 所谓偏最小二乘法，就是指在做基于最小二乘法的线性回归分析之前，对数据集进行主成分分析降维，下面的源码是没有删减的，GreenSim团队免费提供您使用，转载请注明GreenSim团队（http://blog.sina.com.cn/greensim）。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis pr
MultiwayPLS
- 一个很好的基于matlab的pls工具箱，可以进多线性数据的的主成分分析，偏最小二乘回归等。-A good toolbox based on matlab' s pls, can enter the data more linear principal component analysis, partial least squares regression.
pcapcr
- 主成分分析(PCA)和主成分回归的(PCR)类，基于ZedGrapg和矩阵类库LinearAlgebra，用于模式识别分类和回归建模型，PCA类中增加基于Zedgraph类图显示，自动多类标识-Priciple Component Analysis and Priciple Component regression algorithm
zhuchengfen
- 主成分回归，可以提出自变量的影响。用MATLAB编写，运行通过。-Principal component regression, we can make the impact of independent variables. Using MATLAB, run through.
pls-pca
- 这个例子展示了如何应用偏最小二乘回归(plsr)和主成分回归(PCR),并讨论了两种方法的有效性。 本人亲测有效-This example shows how to apply Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR), and discusses the effectiveness of the two methods. PLSR and PCR are both me
PLS-cPROGRAMMER
- 用C语言编制的PLS程序源代码：偏最小二乘法（PLS）是基于因子分析的多变量校正方法，其数学基础为主成分分析。但它相对于主成分回归（PCR）更进了一步，两者的区别在于PLS法将浓度矩阵Y和相应的量测响应矩阵X同时进行主成分分解：-PLS program source code compiled with the C: partial least squares (PLS) is a multivariate calibration method based on factor analysis,
a-MATLAB-library-for-robust
- 介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。-Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROB
Principal-component-regression
- 主成分回归分析程序的研究,很具有参考价值，值得看看相信会有用-Research principal component regression analysis program, it is very valuable, it is worth a look I believe will be useful
主成分回归MATLAB
- 为了方便使用主成分回归，这里给出用matlab做主成分回归的详细代码，已经过运行检验
pcr
- 主成分回归是一种多元回归分析方法，旨在解决自变量间存在多重线性问题(Principal component regression is a multivariate regression analysis method designed to solve the existence of multiple linear problems between independent variables)
PCA equation
- 主成分分析法求得主成分回归方程，从而达到降维目的。(Principal component analysis method for obtaining the regression equation of principal components)
主成分分析及matlab实现
- 主成分分析和主成分回归的MATLAB实现，含程序，详细(MATLAB implementation of principal component analysis, including program)
PCAR
- 主成分回归算法的python实现，用于进行预测的问题(Python implementation of principal component regression algorithm for prediction)