ok,I understand your means, maybe PLS is better for my aim. but I have done that, also bad. the most questions for me is how to select less variables from the independent to fit dependent. GA maybe is good way, but I do not learn it well.
Ben Bolker wrote: > > bbslover <dluthm <at> yeah.net> writes: > >> > [snip] > >> the fit result below: >> Call: >> lm(formula = y ~ x1 + x2 + x3, data = pc) >> >> Residuals: >> Min 1Q Median 3Q Max >> -1.29638 -0.47622 0.01059 0.49268 1.69335 >> >> Coefficients: >> Estimate Std. Error t value Pr(>|t|) >> (Intercept) 5.613e+00 8.143e-02 68.932 < 2e-16 *** >> x1 -3.089e-05 5.150e-06 -5.998 8.58e-08 *** >> x2 -4.095e-05 3.448e-05 -1.188 0.239 >> x3 -8.106e-05 6.412e-05 -1.264 0.210 >> --- >> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 >> >> Residual standard error: 0.691 on 68 degrees of freedom >> Multiple R-squared: 0.3644, Adjusted R-squared: 0.3364 >> F-statistic: 12.99 on 3 and 68 DF, p-value: 8.368e-07 >> >> x2,x3 is not significance. by pricipal, after PCA, the pcs should >> significance, but my data is not, why? > > Why is it necessary that the first few principal components > should have significant relationships with some other response > values? The strength, and weakness, of PCA is that it is > calculated *without regard* to a response variable, so it > does not constitute "data snooping" ... > I may of course have misinterpreted your question, but at > a quick look, I don't see anything obviously wrong here. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- View this message in context: http://old.nabble.com/after-PCA%2C-the-pc-values-are-so-large%2C-wrong--tp26240926p26251658.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
