Timeline for Meaning/interpretation of intercept_ in partial least squares
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 29 at 0:50 | vote | accept | Francisco Angel | ||
| Jun 27 at 12:52 | comment | added | Lukas Lohse | @FranciscoAngel The mean of the response always has some meaning and is necessarily the prediction at the mean values of the "$X$", while the intercept at 0 is sometimes an extreme extrapolation from the data that has no real value. If you want to calculate predictions by hand you can use your code predict at 0. Also if you fell the question is answered, please mark it. I love the green on my User-Page :) | |
| Jun 25 at 15:07 | comment | added | Francisco Angel | It's a shame that you are kind of "forced" to mean center to obtain a value of intercept_ that makes sense. | |
| Jun 25 at 8:06 | history | edited | Lukas Lohse | CC BY-SA 4.0 |
missing word
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| Jun 24 at 21:25 | history | answered | Lukas Lohse | CC BY-SA 4.0 |