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In linear regression, regression weights of x1 on Y given x2 and x3 should be mathematically identical to the semipartial correlations between x1 and Y, given x2 and x3. However, I do not obtain identical results, so apparently I'm doing something wrong in R. Data preparation: data<-read.csv("file.csv", head=T) data <- subset(data, select=c(age,s1,s2,s3,s5,s10,WSAS01)) data <- na.omit(data1)...

Dear R-Experts, Thanks to Prof. Bonnett, I have got an R script working to calculate confidence intervals around the semipartial correlation coefficients. Now, I would like to calculate BCa bootstrap CIs using the boot library and the boot.ci(results, type="all") function. How could I modify my R script (here below reproducible example) to get the BCa bootstrap CIs ? CIsemipartcorr <- function(alpha, part,...