in psych::principal() you can do different types of rotations/transformations to your extracted Principal Component(s) or ''PCs'' using the rotate= argument, like: "none", "varimax" (Default), "quatimax", "promax", "oblimin", "simplimax", and "cluster". You have to empirically decide which one should make sense in your case, if needed, depending on your own appraisal and knowledge of the subject matter under investigation, a key question to that might give you a hint:which one is more interpretable (again if needed)?, in the help you might find this also helpful:

It is important to recognize that rotated principal components are not principal components (the axes associated with the eigen value decomposition) but are merely components. To point this out, unrotated principal components are labelled as PCi, while rotated PCs are now labeled as RCi (for rotated components) and obliquely transformed components as TCi (for transformed components). (Thanks to Ulrike Gromping for this suggestion.)

In psych::principal() you can do different types of rotations/transformations to your extracted Principal Component(s) or ''PCs'' using the rotate= argument, like: "none", "varimax" (Default), "quatimax", "promax", "oblimin", "simplimax", and "cluster". You have to empirically decide which one should make sense in your case, if needed, depending on your own appraisal and knowledge of the subject matter under investigation. A key question which might give you a hint: which one is more interpretable (again if needed)?

In the help you might find the following also helpful:

It is important to recognize that rotated principal components are not principal components (the axes associated with the eigen value decomposition) but are merely components. To point this out, unrotated principal components are labelled as PCi, while rotated PCs are now labeled as RCi (for rotated components) and obliquely transformed components as TCi (for transformed components). (Thanks to Ulrike Gromping for this suggestion.)

in psych::principal() you can do different types of rotations/transformations to your extracted Principal Component(s) or ''PCs'' using the rotate= argument, like: "none", "varimax" (Default), "quatimax", "promax", "oblimin", "simplimax", and "cluster". You have to empirically decide which one should make sense in your case depending on your own appraisal and knowledge of the subject matter under investigation, in the help you might find this also helpful:

It is important to recognize that rotated principal components are not principal components (the axes associated with the eigen value decomposition) but are merely components. To point this out, unrotated principal components are labelled as PCi, while rotated PCs are now labeled as RCi (for rotated components) and obliquely transformed components as TCi (for transformed components). (Thanks to Ulrike Gromping for this suggestion.)

in psych::principal() you can do different types of rotations/transformations to your extracted Principal Component(s) or ''PCs'' using the rotate= argument, like: "none", "varimax" (Default), "quatimax", "promax", "oblimin", "simplimax", and "cluster". You have to empirically decide which one should make sense in your case, if needed, depending on your own appraisal and knowledge of the subject matter under investigation, a key question to that might give you a hint:which one is more interpretable (again if needed)?, in the help you might find this also helpful:

It is important to recognize that rotated principal components are not principal components (the axes associated with the eigen value decomposition) but are merely components. To point this out, unrotated principal components are labelled as PCi, while rotated PCs are now labeled as RCi (for rotated components) and obliquely transformed components as TCi (for transformed components). (Thanks to Ulrike Gromping for this suggestion.)