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I have been told that there are two ways to unstandardise the path coefficients. The first is to use the Smartpls output the LV scores unstandardised and run a simple linear regression The second is to use Smartpls output outer weights (ow) for each LV and then calculate Βetaunstandardised = (∑ owe/...

Thank you for your answer.

It would be good if Smartpls could do pair wise deletion. If you use mean replacement you will reduce varians in the data set. Which is not so good when using PLS. Case wise deletion will reduce your data to much if you don't have to many cases.

Best regards,
Johann

How does smartpls treat missing values if you only define missing values in the data, but select not to treat the missing values with either mean replacement or case wise deletion.

Best regards
Johann

Thank you very much, this clearifies. The name is rather confusing, normally you call it case wise deletion.

Best regards
Johann

I'm very interested in knowing what smartpls does when you use case wise replacement of missing values. What are these estimates based on?

Kind regards,
Johann