proc pls data=data2 method=rrr varss nfac=2 details censcale; 型号 E49 E11= F1 F2 F3 F4 F5 F6 F7 F8 F9 F11 F12 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26 F27/解决方案; 输出输出=数据3 XSCORE=xscore YSCORE=yscore predicted=pred_e49 pred_e11;; 跑; 我比较了 stata 计算的饮食评分和 SAS 计算的 xscore 没有一致性，但文献说 SAS 和 stata 的评分应该是一致的 ... View more

Data2 包含 2021 年和 2022 年。我使用的代码如下，proc pls data=data2 method=rrr varss nfac=2 details censcale;型号 E49 E11= F1 F2 F3 F4 F5 F6 F7 F8 F9 F11 F12 F13 F14 F15 F16 F17 F18 F19 F20 F21 F22 F23 F24 F25 F26 F27/解决方案;输出输出=数据3 XSCORE=xscore YSCORE=yscore predicted=pred_e49 pred_e11;跑; ... View more

谢谢你之前的回答。现在，我又有一个问题，为什么基于 xweights 和标准化食物摄入量的产品总和不等于直接从 proc pls 获得的因子分数（输出 xscore=）？ ... View more

I'm very sorry, I didn't make my question clear, my dependent variable is now only available in 2022, but I have a diet for two years, should I first run with the data of 2022, then predict the standard dietary intake in 2021, and finally calculate the factor score, at present I will only do the RRR in 2022, but will not derive the factor score of the entire population ... View more

I'm really sorry, factor score of dietary pattern = factor loadings * standard food intakes, why should I predict the dependent variable? ... View more

I'm very sorry, because I am a new user to SAS, I am not familiar with it, the following is my code for RRR, how to do predict  I still can't, can you please tell me how to write the later predict code. Thank you! proc pls data=data2 method=rrr varss nfac=2 details censcale; model e49 e11= f1 f2 f3 f4 f5 f6 f7 f8 f9 f11 f12 f13 f14 f15 f16 f17 f18 f19 f20 f21 f22 f23 f24 f25 f26 f27/solution; output out=data3 XSCORE=xscore YSCORE=yscore; run; ... View more

Hi, I am using RRR for an analysis of Dietary pattern. I have data for two sets of data for 2021 and 2022, where data for the response variable is missing in 2021, so I want to calculate the 2021 meal score using the dietary pattern coefficients generated by the 2022 RRR. So far I have extracted Xloading, how to calculate the final meal score for each sample. Thanks! ... View more