搜索资源列表
uve_pls
- 对一维光谱实现偏最小二乘回归进行UVE变量选择-UVE variable selection on the spectrum
HREG
- 通用的最小二乘回归算法，使用matlab编程实现，可用于求取最优解。-General least squares regression algorithm, using matlab programming, can be used to obtain the optimal solution.
LogfitApplet
- 最近的一个软件项目有一个要求，导出从一系列的数据点的二次曲线的方程。这就是说，以确定，和c，其中，即y = ax2+ bx + c的。在确定A，B和C，我也需要一个R-平方值（决定系数）。 我有一个模糊的记忆称为最小二乘回归“的东西，所以回谷歌，我就去了。-A recent software project had a requirement to derive the equation of a quadratic curve from a series of data points. T
pls
- 偏最小二乘回归分析程序，程序完整，有实验数据，多次使用可以运行-Partial least squares regression analysis program, the program is complete, the experimental data can run multiple use
Linear-Least-Squares--and-model-test
- 最小二乘回归算法以及其模型检验和参数检验并自动逐步检验。-linear least squares regression，model and parameters testing
pls
- 最小二乘回归法（PLSR：partial least squares regression)：是一种新型的多元统计数据分析方法，它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。-Least squares regression (PLSR: partial least squares regression): a new type of multivariate statistica
PLS
- 数学建模算法大全中的；偏最小二乘回归PLS-Partial least squares regression PLS mathematical modeling algorithm Daquan
GA
- GA-PLS，遗传-偏最小二乘回归算法，附带方法说明以及具体的运算程序。操作简单，容易上手-GA-PLS, genetic- partial least squares regression algorithm, with the method described and specific operational procedures. Simple, easy to use
Partial-least-squares-
- 数学建模中基于matlab的偏最小二乘回归分析算法-Mathematical modeling matlab-based partial least squares regression analysis algorithm
plsr
- 应用matlab自带函数进行片最小二乘回归建模-Application of matlab with function least-squares regression modeling
plsr1
- 偏最小二乘回归模型，处理光谱数据的有效模型-Effective partial least squares regression model, processing spectral data
PLSR-in-Matlab
- 本文章详细介绍了PLSR片最小二乘回归的原理，以及如何用matlab源代码实现PLSR建立回归模型，以及交叉检验，得到最优模型。-This article describes in detail the principle of least squares regression PLSR piece, and how to use matlab source code PLSR regression model, and cross-examination, the optimal model.
PLS
- 偏最小二乘回归的通用程序，自己设置参数后即可运行。-The general procedure of partial least squares regression, can set their own parameters after operation.
PLS-regression
- 王惠文－（book）偏最小二乘回归方法及应用1 -Wang Huiwen- (book) and application of partial least squares regression method 1
PLS
- 偏最小二乘回归的源代码，可直接调用，注释较详细，初学者一看懂-Partial least squares regression of the source code can be called directly, more detailed comments, beginners to understand
pls
- 单因变量偏最小二乘回归matlab程序 程序尚不完善，固定提取了3个主成分，没有做寻求最佳主成分个数；没有做交叉有效性检验 -Single dependent variable and partial least squares regression matlab The program is not perfect, the fixed extract 3 principal components, do not seek the best number of principa
8
- 它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。-It is mainly a result of the study is a multi-variab
Plsregress
- 偏最小二乘回归分析，matlab源程序，说明详细，应用简单-Plsregress matlab
PCARegress
- 主成分分析法中(PCA)的主成分回归，相比最小二乘回归具有更小的均方误差。本程序用于学习交流。-Principal component analysis method (PCA) of the principal component regression. Compared to the least squares regression, it s a smaller mean square error. This procedure just for learning.
randomfrog
- 随机蛙跳源代码，寻找最优变量，输出最小二乘回归-Random frog