Least squares regression with nine model selection techniques, including stepwise regression.
最小二乘回归模型选择与九技术，包括逐步回归。
The comparison is made among forward selection method in the stepwise regression and PLS as well as ORS methods through the example of QSAR (quantitative structure activity relationship).
用该法处理构效关系问题，并与逐步回归正向选择法及PLS回归法进行了比较，得到满意的结果。
Covariance analysis with forward stepwise variable selection was carried out.
统计方法采用逐步向前变量选择协方差分析。
For the best use of marker information in a marker aided backcrossing program for gene introgression, a stepwise marker genotyping and individual selection were suggested.
因此，为了在标记辅助回交育种中充分利用标记信息，应当分步骤鉴定标记基因型和选择个体。
The former uses marker score as selection criterion estimated based on the markers showing significant associations with the target quantitative trait screened by stepwise multiple regression.
前者采用逐步回归筛选与目标性状相关联的标记，由此估计个体的标记值，作为选择的依据；
The former uses marker score as selection criterion estimated based on the markers showing significant associations with the target quantitative trait screened by stepwise multiple regression.
前者采用逐步回归筛选与目标性状相关联的标记，由此估计个体的标记值，作为选择的依据；
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