forum.smartpls.com

Hengkov wrote:Hi,

Used PLS Regression for deal collinearity. In IBM SPSS, XLSTAT and WarpPLS available OK.
Regards,

thank you!

i have a model, including four indicators,one is the dependent variable,the others are independent variables.
i want to obtain the regression equation,PLS is a good way to eliminate the Multicollinearity.
who can tell me what can i do to use smartPLS.

Hengkov wrote:Hi,
Outer loading and path coefficient run PLS Algorithm and outer weight run bootstrap.

Regards,
Hengky

thanks,but what i want to know is the calculation method of the parameters,such as principal components analysis,not how to operate this soft to attain them.

hello,everyone
i am a new user for the SMARTPLS,so i want to comprehend the calculation method of the parameters generally,which mainly include outing loading、outer weights and path coefficient.
who can help me? thanks a lot in advance.

Hengkov wrote:Check My answer..;-)

please provide the url.

hi everyone

why my smartpls only has createing new project and has not opening a model?

Hengkov wrote:Hi,

Yes, choose "mean 0 var 1" for standardized and LVs to standardized (original not standardized).

Regards,
Hengky

i see,thank you!

in addition,outer loadings and outer weights are standardized of the report?

Hi, in the same way, use the "outer weights". SmartPLS already computes the LV scores, see:: Report / PLS / Calculation results / Latent variable scores / Best regards, Bido but i remember what you said before,the lv scores(original) SMARTPLS computed are not correct? i need compute them ...

Hi, LV = w1 * MV1 + w2 * MV2 + ... + wn * MVn Where MV are the manifested variable (indicators) after standardization [(Xi – Mean) / Standard Dev] and wn are the outer weights. After compute LV you should to standardize the LV scores to have the “standardized LV socres”, with mean = 1 and s.d. = 1 ...

hi,everyone.
i am in china,a new user for smartpls,i also need some interpreting files for outputing result.who can post them to my E-Mail:2575529821@qq.com.
thank you!