cars

代码说明：

  竞争性自适应重加权算法（CARS）是通过自适应重加权采样（ARS）技术选择出PLS模型中回归系数绝对值大的波长点，去掉权重小的波长点，利用交互验证选出RMSECV指最低的子集，可有效寻出最优变量组合。(The competitive adaptive weight weighting algorithm (CARS) uses adaptive heavy weighted sampling (ARS) to select the wavelength points with large absolute value of the regression coefficient in PLS model, remove the wavelengths with small weight, and use interactive verification to select the lowest subset of RMSECV, which can effectively find the optimal combination of variables.)

文件列表：

cars\carspls.m, 3383 , 2012-03-23
cars\CARS_manual.pdf, 49218 , 2012-03-23
cars\classplot2.m, 920 , 2012-03-23
cars\corn_m51.mat, 608872 , 2017-07-07
cars\corn_m52.mat, 624151 , 2017-07-07
cars\csvd奇异值分解.m, 288 , 2012-03-23
cars\example_nir.m, 506 , 2012-03-23
cars\expred1.m, 465 , 2012-03-23
cars\expred2.m, 736 , 2012-03-23
cars\ks.m, 812 , 2012-03-23
cars\LOGO_CARS.JPG, 46264 , 2012-03-23
cars\lsreg.m, 966 , 2012-03-23
cars\Manne_bi.m, 1132 , 2012-03-23
cars\mcs.m, 2983 , 2012-03-23
cars\mcuvepls.m, 1217 , 2012-03-23
cars\mwpls.m, 976 , 2012-03-23
cars\oscplscv.m, 3013 , 2012-03-23
cars\plotcars.m, 835 , 2012-03-23
cars\plotmcs.m, 592 , 2012-03-23
cars\pls.m, 1953 , 2012-03-23
cars\plscvfold.m, 2639 , 2012-03-23
cars\plsdcv.m, 1955 , 2012-03-23
cars\plsmccv.m, 2977 , 2012-03-23
cars\plsnipals.m, 1734 , 2012-03-23
cars\plsrdcv.m, 2179 , 2012-03-23
cars\plssim.m, 4180 , 2012-03-23
cars\plsval.m, 342 , 2012-03-23
cars\pls_nipals.m, 1788 , 2012-03-23
cars\pretreat.m, 739 , 2012-03-23
cars\scarspls.m, 2944 , 2012-03-23
cars\simuin.m, 483 , 2012-03-23
cars\test_package_functions.m, 575 , 2018-03-03
cars\test_script_rce.m, 651 , 2012-03-23
cars\tp.m, 472 , 2012-03-23
cars\vipp.m, 554 , 2012-03-23
cars\~$RS_manual.doc, 162 , 2012-03-23
cars\直接正交信号dosc.M, 1102 , 2012-03-23
cars, 0 , 2018-04-04