tag:blogger.com,1999:blog-2982097637919684815.post2423400210873857484..comments2024-03-14T11:10:39.358-07:00Comments on WarpPLS: How is the warping done in WarpPLS?Ned Kockhttp://www.blogger.com/profile/02755560885749335053noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-2982097637919684815.post-5007968382778407252013-09-14T14:37:39.585-07:002013-09-14T14:37:39.585-07:00Thank you for responding. WarpPLS really is a fant...Thank you for responding. WarpPLS really is a fantastic tool, very innovative. I could be mistaken, but I believe that if you use the original PLS algorithm (weighting from the outer via regression and from the inner via either centroid, factor, or path weighting), then the values that you determine for the LV scores will be 'biased' in a 'linear fashion' (but certainly good enough to test non-linear relationships as you have demonstrated). What other approaches are possible to estimate the LV scores, I wonder?Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-31669121789486140442013-09-14T07:37:52.214-07:002013-09-14T07:37:52.214-07:00Hi Anon.
The answer is: PLS regression, up to ve...Hi Anon. <br /><br />The answer is: PLS regression, up to version 3.0. <br /><br />PLS modes A and B, and variations, will be available in version 4.0.<br /><br />Still, PLS regression will remain the default, as it tends to minimize collinearity among LVs.<br /><br />NedNed Kockhttps://www.blogger.com/profile/02755560885749335053noreply@blogger.comtag:blogger.com,1999:blog-2982097637919684815.post-27631300881429931242013-09-14T02:35:51.209-07:002013-09-14T02:35:51.209-07:00How does WarpPLS calculate the original, unadjuste...How does WarpPLS calculate the original, unadjusted (or untransformed) values of the latent variables? .... that is, before any sort of linear or non-linear predictive model is applied between the latent variables?Anonymousnoreply@blogger.com